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 robinslange/learning-loop --skill rewritegit clone --depth 1 https://github.com/robinslange/learning-loopWrote 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/robinslange/learning-loop/rewrite)<a href="https://agentmods.dev/skills/robinslange/learning-loop/rewrite"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/rewrite/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/robinslange/learning-loop/rewrite"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/rewrite.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00067 | $0.02612 |
| Opus 5.5 | $0.00027 | $0.01045 |
| Sonnet 5.5 | $0.00013 | $0.00522 |
| Haiku 4.5 | $0.00007 | $0.00261 |
Grade A, and why
rewrite 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 1mo 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rewrite: Context Gene Editing
When a belief turns out to be wrong (or refined), the wrong version sits in three places: the vault as durable notes, the auto-memory as preferences/feedback, and the episodic history as past conversations the LLM may resurface. This skill edits all three coherently.
The Katsuno-Mendelzon split:
- Vault and auto-memory use revision semantics: actively rewritten or archived. The world model changes.
- Episodic memory is append-only history: update semantics. We do not edit past conversations; we annotate them via the supersessions table so future retrievals carry the correction inline.
When to Use
/learning-loop:rewrite "old pattern" "new pattern": full form, with reason inferred/learning-loop:rewrite "old pattern" "new pattern" "reason": explicit reason for the supersession record/learning-loop:rewrite: no args, infer the change from recent conversation context
Process
Phase 1: Frame the Change
If args are provided, parse old_pattern, new_pattern, optional reason.
If no args, read the conversation. The user just learned something that contradicts a prior belief. Identify:
- The OLD pattern (the belief being retracted/refined)
- The NEW pattern (the replacement)
- The REASON (what evidence forced the change)
If you cannot find a clear correction in the conversation, tell the user and stop. Ask them to provide old and new explicitly.
Confirm the framing in one line before proceeding:
Rewriting: "<old>" → "<new>" (reason: <reason>)
Phase 2: Hit Map (parallel search across all stores)
Search every store for the OLD pattern. Run all four searches in parallel (single message, multiple Bash calls):
-
Vault: semantic + keyword:
ll-run vault-search.mjs search "<old pattern>" --rerank -
Vault: wiki-link/title hits: Use
Globfor filename matches:**/*<key-noun>*.mdin{{VAULT}}/ -
Auto-memory:
Grepthe project's~/.claude/projects/*/memory/directory for substrings of the old pattern. ReadMEMORY.mdand any matching files.
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.
- 1mo ago Changed ad1883916fd7
- 1mo ago Changed · -5 lines 95c8b2de72bc
- 1mo ago Changed 2ef057d29cb7
- 1mo ago Changed 3ebc10784d4c
- 1mo ago Changed · -4 lines 533ea613f7a6
- 1mo ago Changed · +4 lines cf90953f16cf
- 2mo ago Changed efb2bd7f272f
- 2mo ago First seen · 208 lines · 67 tokens per session scan A 57a97eb2d54c
rewrite is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 67 tokens to every session and 2,612 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
rewrite compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rewriterobinslange/learning-loop | Skill | 13 | 4d ago | Apache-2.0 | A | 67 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |