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Web & Frontend Development @donovanpankratz-del Updated 6/28/2026 986 downloads 0 stars Security: Pass

Correction Memory OpenClaw Plugin & Skill | ClawHub

Looking to integrate Correction Memory into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.

What this skill does

Makes agent corrections persistent and reusable. When you override, reject, or correct an agent's output, this skill logs the correction and automatically injects it into future spawns of the same agent type. Solves "agent keeps making the same mistake across sessions." Installs correction-tracker lib + injection hook into agent-context-loader. Works standalone or alongside intent-engineering skill.

Install

ClawHub CLI
openclaw skills install @donovanpankratz-del/correction-memory
Node.js (npx)
npx clawhub@latest install correction-memory

Full SKILL.md

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Metadata table.
nameversiondescription
correction-memory1.1.0Makes agent corrections persistent and reusable. When you override, reject, or correct an agent's output, this skill logs the correction and automatically injects it into future spawns of the same agent type. Solves "agent keeps making the same mistake across sessions." Installs correction-tracker lib + injection hook into agent-context-loader. Works standalone or alongside intent-engineering skill.

SKILL.md content below is scrollable.

Correction Memory

The Problem

When you correct an agent, that correction evaporates after the session. Next time you spawn the same agent type, it makes the same mistake. There's no memory of what you've already taught it.

What This Skill Installs

  • lib/correction-tracker.js — logs corrections per agent type to memory/corrections/[AgentType].jsonl
  • Hook into agent-context-loader.js — correction preamble prepended to spawns automatically (if intent-engineering is also installed)

Installation

Step 1 — Install correction-tracker

cp references/correction-tracker-template.js $OPENCLAW_WORKSPACE/lib/correction-tracker.js

Verify it runs:

node $OPENCLAW_WORKSPACE/lib/correction-tracker.js

Step 2 — Wire agent-context-loader (if using intent-engineering)

If lib/agent-context-loader.js is installed (from intent-engineering skill), correction injection is automatic — no wiring needed. The loader checks for correction-tracker.js at startup and loads it if present.

If you are NOT using intent-engineering, add this to your spawn logic manually:

const { buildCorrectionPreamble } = require('./lib/correction-tracker');

const agentType   = 'CoderAgent'; // or whatever agent you're spawning
const corrections = buildCorrectionPreamble(agentType, workspaceRoot);
const fullTask    = corrections ? corrections + '\n\n---\n\n' + originalTask : originalTask;

Logging Corrections

Programmatic

const { logCorrection } = require('./lib/correction-tracker');

logCorrection(
  'CoderAgent',                                    // agent type
  'Used ESM import instead of require()',          // what was wrong
  'Always use require() for Node.js stdlib modules', // correct behavior
  workspaceRoot,
  { session_channel: 'discord' }                  // optional metadata
);

Via main agent (natural language)

Just tell the main agent:

"Note that [AgentType]: [what it did wrong] — [correct behavior]"

The main agent will log it programmatically.

How Corrections Are Replayed

On every subagent spawn, agent-context-loader detects the agent type from the task description and prepends:

## Corrections from Previous Sessions

The following corrections were logged for CoderAgent. Apply these behaviors:

1. **[2026-03-01] Issue:** Used ESM import instead of require()
   **Correction:** Always use require() for Node.js stdlib modules

Only corrections from the last 30 days are injected. Older corrections expire automatically — stale rules don't accumulate.

Viewing Corrections

# All corrections for an agent type
cat $OPENCLAW_WORKSPACE/memory/corrections/CoderAgent.jsonl | jq .

# List all agent types with corrections
ls $OPENCLAW_WORKSPACE/memory/corrections/

# Count corrections per agent
for f in $OPENCLAW_WORKSPACE/memory/corrections/*.jsonl; do
  echo "$(basename $f .jsonl): $(wc -l < $f) corrections"
done

Agent Type Detection

The loader auto-detects agent type from the task description. Default rules:

Task keywords Agent type
code, coder, impl, debug CoderAgent
writ, author, novel, chapter AuthorAgent
world, build WorldbuilderAgent
(anything else) general

To add custom agent types, edit detectAgentType() in agent-context-loader.js.

References

  • references/correction-tracker-template.js — Full implementation of correction-tracker.js
ClawHub Registry URL: https://clawhub.ai/donovanpankratz-del/skills/correction-memory

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