skill-from-scars SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
skill-from-scars from fairy123456789/human-edge-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fairy123456789/human-edge-agent-skills/skill-from-scars@git:20260908.449ec5cPins git:20260908.449ec5c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fairy123456789/human-edge-agent-skills
- Path
skills/skill-from-scars/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260908.449ec5c, committed Sep 8, 2026
- First version recorded
- Sep 5, 2026
- Size
- 3,422 bytes
- Repository stars
- 108
- License
- MIT
Mine repeated pain from transcripts, project retrospectives, debugging logs, failed prompts, deployment notes, or work history and decide whether it deserves to become a reusable Agent Skill. Use when the user wants to turn hard-earned experience into open-source knowledge, avoid publishing generic prompts, generate a SKILL.md package with references and evaluations, or identify which repeated mistakes contain a real decision procedure worth sharing.
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
# Skill From Scars ## Purpose Do not turn every lesson into a Skill. Turn repeated, generalizable pain into a tested workflow whose value can be demonstrated against a baseline. ## Instructions 1. Collect the raw scar: failed runs, repeated corrections, incident notes, long conversations, or a recurring manual procedure. 2. Extract candidate pains. Merge variants that share the same underlying failure. 3. Score each candidate with `references/skill-worthiness.md`. 4. Reject candidates that are: - one-off personal preferences with no external user; - generic advice the base model already handles well; - private procedures that cannot be safely generalized; - impossible to evaluate; - mostly branding with no behavior change. 5. For the strongest candidate, define: - trigger; - painful failure mode; - decision procedure; - hard gates; - required references and scripts; - expected output; - evaluation case. 6. Draft a compact main instruction file. Put long taxonomies and templates in supporting reference or asset files. 7. Create at least one baseline-versus-Skill evaluation where a normal model is likely to fail. …
Read the whole file at its exact version.
How to install
mdr add fairy123456789/human-edge-agent-skills/skill-from-scars@sha256:9847eb835b419f2eThe line at the top of this page pins the label git:20260908.449ec5c, 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_wtzeknxs67la6up3)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Sep 5, 2026 and Sep 8, 2026, about one every 3 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260908.449ec5c latest | 2026-09-08 | 449ec5c | 3,422 B | A | view · diff |
| git:20260905.a694da1 | 2026-09-05 | a694da1 | 1,933 B | A | view |
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 (3422 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
fairy123456789/human-edge-agent-skills · 108 stars · license MIT · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wtzeknxs67la6up3 GET https://markdownregistry.com/api/v1/resolve?ref=fairy123456789/human-edge-agent-skills/skill-from-scars GET https://markdownregistry.com/api/v1/blob/9847eb835b419f2e5e14889d7883f02e17eafbd20d8131c0d6e225de17f0a12b
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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