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OpenClaw

correction-memory

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.

donovanpankratz-del0 source installs☆ 0 Repository starsv1.1.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install donovanpankratz-del/correction-memory

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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 wron...

Source information

Source
github
Repository
openclaw/skills
Path
skills/donovanpankratz-del/correction-memory
Version
1.1.0
Commit
9bfc60be99e97cfb69f2c3d2212ed092c70417bf
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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

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

Verify it runs:

```bash
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:

```javascript
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

```javascript
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 wron...

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