Jump to related tools in the same category or review the original source on GitHub.

Calendar & Scheduling @thecybercore Updated 7/18/2026 1,251 downloads 0 stars Security: Pass

Tcc Quality Gates OpenClaw Plugin & Skill | ClawHub

Looking to integrate Tcc Quality Gates into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate calendar & scheduling tasks instantly, without having to write custom tools from scratch.

What this skill does

# openClaw Skill: Quality Gateways (Generic Web + API Applications) ## Purpose This skill defines and applies **6 universal quality gateways** for typical application projects that include: - Backend API services (any stack) - Web frontends (any stack) - CI/CD pipelines (any provider) The gateways are written in **LLM-friendly operational language**: how to **check**, **calculate**, **evaluate**, and **document** results consistently. This skill is **language-agnostic** and can be used on any repository. It relies on a central configuration file: - `.defs/quality-gateway-definition.json` (MUST be stored in the repository, not the workspace) ## Non-Negotiable Storage Rules (openClaw) - The gateway definition file MUST be placed in: `REPO_ROOT/.defs/quality-gateway-definition.json` - Temporary files MUST go to: `REPO_ROOT/.tmp/quality-gates/` (do not create or delete other workspace directories) - Reports MUST be written to repository paths defined in the JSON config (default suggested below) ## Inputs - Repository root path (REPO_ROOT) - Optional CI artifacts path (if provided by the runtime) - Optional commit range (for PR-focused evaluation) - Optional environment notes (target load, environments, risk level) ## Outputs 1. A human-readable report (Markdown) 2. A machine-readable report (JSON) containing raw metrics + per-check scores 3. Evidence references (paths, snippets, CI links if available) Recommended default output paths (override via JSON config): - `docs/quality/quality-gate-report.md` - `docs/quality/quality-gate-report.json` - Evidence directory: `docs/quality/evidence/` --- # The 6 Quality Gateways Each gateway produces: - **Score**: 0–100 - **Status**: PASS / WARN / FAIL - **Blocking behavior**: some gateways are “blocking” (FAIL blocks release) All gateway thresholds and weights come from: - `.defs/quality-gateway-definition.json` --- ## Gateway 1 — Build & Dependency Health ### Goal Ensure the system can be built and packaged reliably, and dependencies are manageable and safe to ship. ### What to Check (typical checks) - CI pipeline status (green on default branch / PR) - Reproducible build or deterministic packaging indicators - Dependency freshness (stale/outdated dependencies) - License policy compliance (allowlist/denylist) - SBOM presence (if required) ### How to Measure / Calculate - Boolean checks: PASS=100, FAIL=0 - Ratio checks (e.g., “outdated deps %”): scale 0–100 using thresholds - Policy checks: hard FAIL if a forbidden license is detected (if enabled) ### Evidence to Collect - CI job summary (or local build logs) - Dependency list report output (tool-specific, but keep the report file) - SBOM artifact path (if present) - License scan output (if used) ### How to Document In the report, include: - Build command/pipeline name - Artifact identifiers / versions - Summary of dependency deltas and policy results --- ## Gateway 2 — Automated Testing & Coverage ### Goal Prove correctness through automated tests and prevent regression. ### What to Check - Unit tests pass - Integration/API tests pass (or contract tests) - E2E/smoke tests pass (for web apps) - Code coverage meets thresholds (overall + critical components) - Flaky test rate is controlled (if CI provides retries/flakes) ### How to Measure / Calculate - Test pass: boolean - Coverage: numeric percentage - Score mapping example: - >= target: 100 - between warn and target: linear 70–99 - below warn: linear 0–69 - Optional “critical path coverage” gets extra weight ### Evidence to Collect - Test run outputs (JUnit/TRX/etc.) - Coverage summary files - List of failed tests (if any) + links ### How to Document - Test suites executed - Coverage numbers (overall + key areas) - Notes on skipped tests (if allowed) and rationale --- ## Gateway 3 — Security & Supply-Chain ### Goal Prevent known vulnerabilities, secrets leakage, insecure configs, and supply-chain risks. ### What to Check - Dependency vulnerabilities (Critical/High/Medium counts) - Secret scanning results (must be zero leaked secrets) - Basic secure configuration checks (CSP, TLS, auth boundaries) where applicable - SAST findings severity counts (if tooling exists) - Container image scan (if containers exist) ### How to Measure / Calculate - Vulnerability gating (typical): - Critical = 0 required (FAIL otherwise) - High = 0 required (or <= allowedHigh) - Medium allowed up to a budget (WARN if above warn) - Secrets: any secret finding => FAIL (blocking) - Score: start at 100 and subtract penalties by severity and count (config-driven) ### Evidence to Collect - Vulnerability scan report files - Secret scan output (including file paths and fingerprint IDs, not actual secrets) - SAST report snippet/summary ### How to Document - Severity counts and whether exceptions exist - Any exception MUST include: reason, owner, expiry date (if your org uses waivers) --- ## Gateway 4 — Performance & Efficiency (API + Web) ### Goal Ensure the system meets baseline performance and user experience targets. ### What to Check API (typical): - p95 latency under target - Error rate under target - Throughput meets expected load (if known) Web (typical): - Core Web Vitals (LCP, CLS, INP) on a reference device/profile - Bundle size / asset weight thresholds (optional) ### How to Measure / Calculate - Latency score: - p95 <= target: 100 - between target and warn: linear 70–99 - > warn: 0–69 (linear), with hard FAIL if beyond “max” - Error rate: - <= target: 100 - <= warn: 70–99 - > warn: 0–69, FAIL if beyond max - Web vitals: - Each metric scored independently; weighted into a single web score ### Evidence to Collect - Load test or benchmark outputs (k6/JMeter/etc.) - APM snapshots (if available) - Lighthouse or Web Vitals report exports ### How to Document - Test conditions: environment, dataset size, concurrency, device profile - Key p95 / error rate / vitals values - Notable regressions vs baseline --- ## Gateway 5 — Maintainability & Code Health ### Goal Keep the codebase understandable, changeable, and reviewable over time. ### What to Check - Static analysis quality (lint errors, rule violations) - Complexity thresholds (cyclomatic complexity, large functions/classes) - Duplication rate - “Change risk” signals (hotspots: frequent churn + complexity) - Documentation coverage for public APIs (e.g., endpoint docs, component docs) ### How to Measure / Calculate - Issue density: findings per KLOC (or per file for smaller repos) - Complexity score: percentage of units exceeding complexity threshold - Duplication: % duplicated lines - Score: weighted average of normalized sub-scores (config-driven) ### Evidence to Collect - Static analysis summaries - Complexity and duplication reports (any tool is fine; store outputs) - List of top hotspots and why (files + metrics) ### How to Document - Top 10 problems by impact - Concrete refactoring suggestions only if asked; otherwise just findings --- ## Gateway 6 — Release Readiness & Operability (Observability + Runbooks) ### Goal Make sure the system can be operated safely in production. ### What to Check - Health endpoints exist and are meaningful - Logging is structured and includes correlation IDs - Metrics and dashboards exist for key signals (latency, error rate, saturation) - Alerts configured for SLO breaches / error budget burn (if applicable) - Runbooks for major failure modes exist (deploy rollback, incident triage) - Versioning and changelog/release notes exist ### How to Measure / Calculate Mostly “presence + completeness” scoring: - Each required artifact is a boolean check - Optional maturity rubric: 0 (missing), 50 (partial), 100 (complete) - Blocking if “minimum operability” is not met (config-driven) ### Evidence to Collect - Paths to runbooks, dashboards-as-code, alert configs - Sample log/metric/tracing docs - On-call/ops notes (if present) ### How to Document - List missing operational artifacts - Minimum go-live checklist status --- # Standard Evaluation Algorithm (LLM-Executable) ## Step 1: Load configuration - Read `REPO_ROOT/.defs/quality-gateway-definition.json` - Validate it against the schema description (see below) - If fields are missing, use documented defaults from the JSON ## Step 2: Collect metrics per check For each gate: - For each check: - Identify data source: - Prefer CI artifacts if provided - Otherwise use repository files and local commands (if allowed by runtime) - Produce a metric value (number/boolean/string) and evidence references ## Step 3: Score each check (0–100) Use the scoring method defined per check: - `boolean`: pass => 100, fail => 0 - `threshold_range`: linear scoring between warn and target - `penalty_by_count`: start at 100 and subtract per issue - `rubric`: map {missing/partial/complete} to {0/50/100} ## Step 4: Score each gateway - Compute weighted average of its checks - Determine gateway status using configured thresholds: - Score >= passScore => PASS - Score >= warnScore => WARN - else => FAIL - If gateway is marked `blockingOnFail=true`, any FAIL blocks release ## Step 5: Produce reports Write: 1) Markdown report (human) 2) JSON report (machine) Include: - per-gateway score/status - per-check metrics + evidence paths - overall score and overall status - explicit “BLOCKERS” list if any --- # Report Template (Markdown) Use this outline in `docs/quality/quality-gate-report.md` unless JSON overrides paths: ## Summary - Overall Score: - Overall Status: - Blocking Failures: - Date/Commit: ## Gateway Results | Gateway | Score | Status | Key Metrics | Evidence | |---|---:|---|---|---| ## Details (per Gateway) ### <Gateway Name> - Score/Status - Checks: - <Check>: metric=..., score=..., evidence=... - Notes / Exceptions --- # quality-gateway-definition.json — JSON Schema Description The configuration file is a normal JSON document with: ## Root - `schemaVersion` (string) — version of this config layout - `projectProfile` (object) — context used for defaults - `scoring` (object) — global pass/warn thresholds and aggregation rules - `reporting` (object) — output paths and evidence folder - `gates` (array) — list of gateway definitions (exactly 6 for this skill) ## projectProfile (object) - `applicationType` (string) — e.g. `"web_api_and_web"` - `riskLevel` (string) — `"low"|"medium"|"high"` - `releaseCadence` (string) — e.g. `"daily"|"weekly"|"monthly"` - `expectedLoad` (object, optional) - `apiRps` (number) - `concurrency` (number) ## scoring (object) - `passScore` (number 0–100) - `warnScore` (number 0–100) - `overallAggregation` (string) — `"weighted_average"` - `blockIfAnyBlockingGateFails` (boolean) ## reporting (object) - `markdownReportPath` (string, repo-relative) - `jsonReportPath` (string, repo-relative) - `evidenceDir` (string, repo-relative) - `tempDir` (string, repo-relative; MUST be inside `.tmp/quality-gates/`) ## gates (array of objects) Each gate: - `id` (string) — stable identifier - `name` (string) - `description` (string) - `weight` (number) — relative importance in overall score - `blockingOnFail` (boolean) - `checks` (array) ## checks (array of objects) Each check: - `id` (string) - `name` (string) - `description` (string) - `weight` (number) - `metricType` (string) — `"boolean"|"percentage"|"count"|"duration_ms"|"rubric"` - `scoringMethod` (string) — `"boolean"|"threshold_range"|"penalty_by_count"|"rubric"` - `thresholds` (object) — depends on scoringMethod: - for `threshold_range`: - `target` (number) - `warn` (number) - `max` (number, optional hard-fail) - `direction` (string) — `"higher_is_better"|"lower_is_better"` - for `penalty_by_count`: - `allowed` (number) - `warnAbove` (number) - `failAbove` (number) - `penaltyPerUnit` (number) - `evidenceHints` (array of strings) — where to find evidence in a generic repo/CI - `notes` (string, optional) --- # Operational Notes - If a metric cannot be measured, do NOT invent numbers. - Mark the check as `"unknown"` in the JSON report and score it using the config’s fallback rule (recommended: treat unknown as WARN with score 70 unless the check is security/secrets, where unknown should be FAIL). - Always include evidence references (paths or CI artifact names). - Keep all temp work inside `.tmp/quality-gates/`. # JSON references - `templ/quality-gateway-definition-template.json` (template settings file. Can be copied to `REPO_ROOT/.defs/quality-gateway-definition.json` if missing)

Install

ClawHub CLI
openclaw skills install @thecybercore/tcc-quality-gates
Node.js (npx)
npx clawhub@latest install tcc-quality-gates

Full SKILL.md

Open original

SKILL.md content below is scrollable.

openClaw Skill: Quality Gateways (Generic Web + API Applications)

Purpose

This skill defines and applies 6 universal quality gateways for typical application projects that include:

  • Backend API services (any stack)
  • Web frontends (any stack)
  • CI/CD pipelines (any provider)

The gateways are written in LLM-friendly operational language: how to check, calculate, evaluate, and document results consistently.

This skill is language-agnostic and can be used on any repository. It relies on a central configuration file:

  • .defs/quality-gateway-definition.json (MUST be stored in the repository, not the workspace)

Non-Negotiable Storage Rules (openClaw)

  • The gateway definition file MUST be placed in: REPO_ROOT/.defs/quality-gateway-definition.json
  • Temporary files MUST go to: REPO_ROOT/.tmp/quality-gates/ (do not create or delete other workspace directories)
  • Reports MUST be written to repository paths defined in the JSON config (default suggested below)

Inputs

  • Repository root path (REPO_ROOT)
  • Optional CI artifacts path (if provided by the runtime)
  • Optional commit range (for PR-focused evaluation)
  • Optional environment notes (target load, environments, risk level)

Outputs

  1. A human-readable report (Markdown)
  2. A machine-readable report (JSON) containing raw metrics + per-check scores
  3. Evidence references (paths, snippets, CI links if available)

Recommended default output paths (override via JSON config):

  • docs/quality/quality-gate-report.md
  • docs/quality/quality-gate-report.json
  • Evidence directory: docs/quality/evidence/

The 6 Quality Gateways

Each gateway produces:

  • Score: 0–100
  • Status: PASS / WARN / FAIL
  • Blocking behavior: some gateways are “blocking” (FAIL blocks release)

All gateway thresholds and weights come from:

  • .defs/quality-gateway-definition.json

Gateway 1 — Build & Dependency Health

Goal

Ensure the system can be built and packaged reliably, and dependencies are manageable and safe to ship.

What to Check (typical checks)

  • CI pipeline status (green on default branch / PR)
  • Reproducible build or deterministic packaging indicators
  • Dependency freshness (stale/outdated dependencies)
  • License policy compliance (allowlist/denylist)
  • SBOM presence (if required)

How to Measure / Calculate

  • Boolean checks: PASS=100, FAIL=0
  • Ratio checks (e.g., “outdated deps %”): scale 0–100 using thresholds
  • Policy checks: hard FAIL if a forbidden license is detected (if enabled)

Evidence to Collect

  • CI job summary (or local build logs)
  • Dependency list report output (tool-specific, but keep the report file)
  • SBOM artifact path (if present)
  • License scan output (if used)

How to Document

In the report, include:

  • Build command/pipeline name
  • Artifact identifiers / versions
  • Summary of dependency deltas and policy results

Gateway 2 — Automated Testing & Coverage

Goal

Prove correctness through automated tests and prevent regression.

What to Check

  • Unit tests pass
  • Integration/API tests pass (or contract tests)
  • E2E/smoke tests pass (for web apps)
  • Code coverage meets thresholds (overall + critical components)
  • Flaky test rate is controlled (if CI provides retries/flakes)

How to Measure / Calculate

  • Test pass: boolean
  • Coverage: numeric percentage
    • Score mapping example:
      • = target: 100

      • between warn and target: linear 70–99
      • below warn: linear 0–69
  • Optional “critical path coverage” gets extra weight

Evidence to Collect

  • Test run outputs (JUnit/TRX/etc.)
  • Coverage summary files
  • List of failed tests (if any) + links

How to Document

  • Test suites executed
  • Coverage numbers (overall + key areas)
  • Notes on skipped tests (if allowed) and rationale

Gateway 3 — Security & Supply-Chain

Goal

Prevent known vulnerabilities, secrets leakage, insecure configs, and supply-chain risks.

What to Check

  • Dependency vulnerabilities (Critical/High/Medium counts)
  • Secret scanning results (must be zero leaked secrets)
  • Basic secure configuration checks (CSP, TLS, auth boundaries) where applicable
  • SAST findings severity counts (if tooling exists)
  • Container image scan (if containers exist)

How to Measure / Calculate

  • Vulnerability gating (typical):
    • Critical = 0 required (FAIL otherwise)
    • High = 0 required (or <= allowedHigh)
    • Medium allowed up to a budget (WARN if above warn)
  • Secrets: any secret finding => FAIL (blocking)
  • Score: start at 100 and subtract penalties by severity and count (config-driven)

Evidence to Collect

  • Vulnerability scan report files
  • Secret scan output (including file paths and fingerprint IDs, not actual secrets)
  • SAST report snippet/summary

How to Document

  • Severity counts and whether exceptions exist
  • Any exception MUST include: reason, owner, expiry date (if your org uses waivers)

Gateway 4 — Performance & Efficiency (API + Web)

Goal

Ensure the system meets baseline performance and user experience targets.

What to Check

API (typical):

  • p95 latency under target
  • Error rate under target
  • Throughput meets expected load (if known)

Web (typical):

  • Core Web Vitals (LCP, CLS, INP) on a reference device/profile
  • Bundle size / asset weight thresholds (optional)

How to Measure / Calculate

  • Latency score:
    • p95 <= target: 100
    • between target and warn: linear 70–99
    • warn: 0–69 (linear), with hard FAIL if beyond “max”

  • Error rate:
    • <= target: 100
    • <= warn: 70–99
    • warn: 0–69, FAIL if beyond max

  • Web vitals:
    • Each metric scored independently; weighted into a single web score

Evidence to Collect

  • Load test or benchmark outputs (k6/JMeter/etc.)
  • APM snapshots (if available)
  • Lighthouse or Web Vitals report exports

How to Document

  • Test conditions: environment, dataset size, concurrency, device profile
  • Key p95 / error rate / vitals values
  • Notable regressions vs baseline

Gateway 5 — Maintainability & Code Health

Goal

Keep the codebase understandable, changeable, and reviewable over time.

What to Check

  • Static analysis quality (lint errors, rule violations)
  • Complexity thresholds (cyclomatic complexity, large functions/classes)
  • Duplication rate
  • “Change risk” signals (hotspots: frequent churn + complexity)
  • Documentation coverage for public APIs (e.g., endpoint docs, component docs)

How to Measure / Calculate

  • Issue density: findings per KLOC (or per file for smaller repos)
  • Complexity score: percentage of units exceeding complexity threshold
  • Duplication: % duplicated lines
  • Score: weighted average of normalized sub-scores (config-driven)

Evidence to Collect

  • Static analysis summaries
  • Complexity and duplication reports (any tool is fine; store outputs)
  • List of top hotspots and why (files + metrics)

How to Document

  • Top 10 problems by impact
  • Concrete refactoring suggestions only if asked; otherwise just findings

Gateway 6 — Release Readiness & Operability (Observability + Runbooks)

Goal

Make sure the system can be operated safely in production.

What to Check

  • Health endpoints exist and are meaningful
  • Logging is structured and includes correlation IDs
  • Metrics and dashboards exist for key signals (latency, error rate, saturation)
  • Alerts configured for SLO breaches / error budget burn (if applicable)
  • Runbooks for major failure modes exist (deploy rollback, incident triage)
  • Versioning and changelog/release notes exist

How to Measure / Calculate

Mostly “presence + completeness” scoring:

  • Each required artifact is a boolean check
  • Optional maturity rubric: 0 (missing), 50 (partial), 100 (complete)
  • Blocking if “minimum operability” is not met (config-driven)

Evidence to Collect

  • Paths to runbooks, dashboards-as-code, alert configs
  • Sample log/metric/tracing docs
  • On-call/ops notes (if present)

How to Document

  • List missing operational artifacts
  • Minimum go-live checklist status

Standard Evaluation Algorithm (LLM-Executable)

Step 1: Load configuration

  • Read REPO_ROOT/.defs/quality-gateway-definition.json
  • Validate it against the schema description (see below)
  • If fields are missing, use documented defaults from the JSON

Step 2: Collect metrics per check

For each gate:

  • For each check:
    • Identify data source:
      • Prefer CI artifacts if provided
      • Otherwise use repository files and local commands (if allowed by runtime)
    • Produce a metric value (number/boolean/string) and evidence references

Step 3: Score each check (0–100)

Use the scoring method defined per check:

  • boolean: pass => 100, fail => 0
  • threshold_range: linear scoring between warn and target
  • penalty_by_count: start at 100 and subtract per issue
  • rubric: map {missing/partial/complete} to {0/50/100}

Step 4: Score each gateway

  • Compute weighted average of its checks
  • Determine gateway status using configured thresholds:
    • Score >= passScore => PASS
    • Score >= warnScore => WARN
    • else => FAIL
  • If gateway is marked blockingOnFail=true, any FAIL blocks release

Step 5: Produce reports

Write:

  1. Markdown report (human)
  2. JSON report (machine) Include:
  • per-gateway score/status
  • per-check metrics + evidence paths
  • overall score and overall status
  • explicit “BLOCKERS” list if any

Report Template (Markdown)

Use this outline in docs/quality/quality-gate-report.md unless JSON overrides paths:

Summary

  • Overall Score:
  • Overall Status:
  • Blocking Failures:
  • Date/Commit:

Gateway Results

Gateway Score Status Key Metrics Evidence

Details (per Gateway)

<Gateway Name>

  • Score/Status
  • Checks:
    • <Check>: metric=..., score=..., evidence=...
  • Notes / Exceptions

quality-gateway-definition.json — JSON Schema Description

The configuration file is a normal JSON document with:

Root

  • schemaVersion (string) — version of this config layout
  • projectProfile (object) — context used for defaults
  • scoring (object) — global pass/warn thresholds and aggregation rules
  • reporting (object) — output paths and evidence folder
  • gates (array) — list of gateway definitions (exactly 6 for this skill)

projectProfile (object)

  • applicationType (string) — e.g. "web_api_and_web"
  • riskLevel (string) — "low"|"medium"|"high"
  • releaseCadence (string) — e.g. "daily"|"weekly"|"monthly"
  • expectedLoad (object, optional)
    • apiRps (number)
    • concurrency (number)

scoring (object)

  • passScore (number 0–100)
  • warnScore (number 0–100)
  • overallAggregation (string) — "weighted_average"
  • blockIfAnyBlockingGateFails (boolean)

reporting (object)

  • markdownReportPath (string, repo-relative)
  • jsonReportPath (string, repo-relative)
  • evidenceDir (string, repo-relative)
  • tempDir (string, repo-relative; MUST be inside .tmp/quality-gates/)

gates (array of objects)

Each gate:

  • id (string) — stable identifier
  • name (string)
  • description (string)
  • weight (number) — relative importance in overall score
  • blockingOnFail (boolean)
  • checks (array)

checks (array of objects)

Each check:

  • id (string)
  • name (string)
  • description (string)
  • weight (number)
  • metricType (string) — "boolean"|"percentage"|"count"|"duration_ms"|"rubric"
  • scoringMethod (string) — "boolean"|"threshold_range"|"penalty_by_count"|"rubric"
  • thresholds (object) — depends on scoringMethod:
    • for threshold_range:
      • target (number)
      • warn (number)
      • max (number, optional hard-fail)
      • direction (string) — "higher_is_better"|"lower_is_better"
    • for penalty_by_count:
      • allowed (number)
      • warnAbove (number)
      • failAbove (number)
      • penaltyPerUnit (number)
  • evidenceHints (array of strings) — where to find evidence in a generic repo/CI
  • notes (string, optional)

Operational Notes

  • If a metric cannot be measured, do NOT invent numbers.
    • Mark the check as "unknown" in the JSON report and score it using the config’s fallback rule (recommended: treat unknown as WARN with score 70 unless the check is security/secrets, where unknown should be FAIL).
  • Always include evidence references (paths or CI artifact names).
  • Keep all temp work inside .tmp/quality-gates/.

JSON references

  • templ/quality-gateway-definition-template.json (template settings file. Can be copied to REPO_ROOT/.defs/quality-gateway-definition.json if missing)
ClawHub Registry URL: https://clawhub.ai/thecybercore/skills/tcc-quality-gates

Related skills

If this matches your use case, these are close alternatives in the same category.