learn SKILL.md skillA
learn from chan4lk/specclaw is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add chan4lk/specclaw/learn@git:20261016.d5964b7Pins git:20261016.d5964b7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- chan4lk/specclaw
- Path
plugins/specclaw-review/skills/learn/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261016.d5964b7, committed Oct 16, 2026
- Size
- 1,533 bytes
- Repository stars
- 14
- License
- MIT
Use when the user wants the review rules to learn from past review findings, to promote recurring lessons into repo rules, or to import an existing pitfalls/standards file into specclaw-review rules.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# specclaw-review: learn rules from this repo's own review cycle Rules are never written silently. Every write needs the human's yes. ## Promote recurring lessons 1. Run `specclaw-review learn` (or call the `learn_propose` MCP tool). It is a dry-run that lists the lessons seen two or more times, each with its fingerprint. 2. Show the list to the user. For each lesson, ask whether a **guard test** (an automated check) would be better than a prose rule. A guard is what actually changes behaviour; a rule only reminds the reviewer. If they want a guard, propose it as a new change instead. 3. On a yes, run `specclaw-review learn --apply <fp> [<fp>…]`. That appends `L<n>` rules to `.specclaw/review/rules/learned.md` and marks those lessons `ruled`. ## Bootstrap from existing files For a repo that already keeps review knowledge, such as a `REVIEW-PITFALLS.md`, reviewer standards or agent hints: 1. Run `specclaw-review learn --import <file>…` first. This is a dry-run: show the user what would be written. 2. On a yes, re-run with `--apply`. Each file becomes `.specclaw/review/rules/imported-<name>.md`. …
Read the whole file at its exact version.
How to install
mdr add chan4lk/specclaw/learn@sha256:14abf12d0ec397aeThe line at the top of this page pins the label git:20261016.d5964b7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_k7pkeqdfdtfzqa4w)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 16, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1533 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
chan4lk/specclaw · 14 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k7pkeqdfdtfzqa4w GET https://markdownregistry.com/api/v1/resolve?ref=chan4lk/specclaw/learn GET https://markdownregistry.com/api/v1/blob/14abf12d0ec397ae880cc939706806ceb263f144cba41fee6f495f5e32085840
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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