Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sam-ueckert/oc-memory --skill promote-lessonsgit clone --depth 1 https://github.com/sam-ueckert/oc-memoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sam-ueckert/oc-memory/promote-lessons)<a href="https://agentmods.dev/skills/sam-ueckert/oc-memory/promote-lessons"><img src="https://agentmods.dev/badge/skills/sam-ueckert/oc-memory/promote-lessons.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.01274 |
| Opus 5 | $0.00029 | $0.00637 |
| Sonnet 5 | $0.00012 | $0.00255 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
promote-lessons scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promote Lessons
Converts episodic memory (corrections, lessons) into procedural memory (behavioral rules). The script queries mem for correction-tagged cells and high-salience lesson cells, synthesizes terse behavioral rules via LLM, and injects them between HTML markers in your agent's config file.
Works with OpenClaw (SOUL.md), Claude Code (CLAUDE.md), and any agent platform that reads a project file at startup.
How It Works
mem search-tag correction→ finds cells tagged withcorrectionmem scene lessons→ finds high-salience cells (sal ≥ 0.8) in the lessons scene- Combined cells → LLM prompt → numbered list of terse behavioral rules
- Rules injected between
<!-- LEARNED_RULES_START -->/<!-- LEARNED_RULES_END -->in target file
Target File Auto-Detection
The script picks the target in this order:
- Explicit
TARGET_FILEenv var - SOUL.md in
$WORKSPACE(OpenClaw convention) - CLAUDE.md in
$WORKSPACE(Claude Code convention)
API Provider Auto-Detection
The script auto-detects the LLM provider:
- If
API_URLcontainsanthropic.com→ uses Anthropic Messages API (x-api-key auth) - Otherwise → uses OpenAI Chat Completions API (Bearer auth, works with OpenClaw)
Override with API_PROVIDER=anthropic or API_PROVIDER=openclaw.
Setup
1. Add HTML markers to your target file
Add this block where you want learned rules to appear:
<!-- LEARNED_RULES_START -->
## Learned Rules
*No rules yet — run promote-lessons after tagging some corrections.*
<!-- LEARNED_RULES_END -->
2. Configure and test
OpenClaw:
export API_TOKEN=$(python3 -c "import json; print(json.load(open('$HOME/.openclaw/openclaw.json'))['gateway']['auth']['token'])")
export WORKSPACE="/path/to/your/workspace"
bash promote-lessons.sh
Claude Code (Anthropic API):
export API_TOKEN="sk-ant-your-key-here"
export API_URL="https://api.anthropic.com/v1/messages"
export WORKSPACE="/path/to/your/project"
bash promote-lessons.sh
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 125 lines · 58 tokens per session scan A 8acde3ad1025
promote-lessons is a skill published in the GitHub repository sam-ueckert/oc-memory (2 stars, last pushed 25d ago), licensed MIT. It adds 58 tokens to every session and 1,274 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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