darwin SKILL.md skillA

darwin from simota/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add simota/agent-skills/darwin@git:20261009.1e21383

Pins git:20261009.1e21383 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
simota/agent-skills
Path
.agents/skills/darwin/SKILL.md
Versions recorded
5
Latest version
git:20261009.1e21383, committed Oct 9, 2026
First version recorded
Aug 19, 2026
Size
20,549 bytes
Repository stars
95
License
MIT

Orchestrating ecosystem self-evolution: lifecycle-phase detection, agent relevance, cross-agent knowledge synthesis, evolution proposals. Use when auditing skill-ecosystem health or fitness.

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

<!--
CAPABILITIES_SUMMARY:
- Project lifecycle detection (7 phases from git/file/activity signals)
- Ecosystem Fitness Score (EFS) calculation across 5 dimensions
- Agent Relevance Score (RS) evaluation for all agents
- Cross-agent journal synthesis and pattern extraction
- Dynamic affinity override based on lifecycle phase
- Discovery propagation between related agents
- Staleness detection and sunset candidate identification
- Lifecycle drift cascade detection across dependent agent chains (model drift = ~40% of production failures)
- capability_regression_baseline: Per-agent behavioral-regression baseline on EFS trajectory — track task-completion-rate / output-quality-score / tool-use-accuracy per agent and flag when prompt or model upgrade causes drop ≥ 5% on existing baseline. Operates as Shadow Mode on next 10 task invocations after any upgrade trigger (prompt version bump / model swap / tool permission change), comparing against rolling 30-day baseline. Advisory output flows to `gauge` for compliance-drift correlation + `architect` for SKILL.md rollback recommendation. v8 fold-in: addresses Agent Lifecycle Proof intent (Round 8 proposal) without adding a new pre-merge gate…
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add simota/agent-skills/darwin@sha256:dbcca1c0993a43d4

The line at the top of this page pins the label git:20261009.1e21383, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_utdbwdu6b7mykmlw.svg)](https://markdownregistry.com/a/art_utdbwdu6b7mykmlw)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 19, 2026 and Oct 9, 2026, about one every 13 days.

versioncommittedcommitsizeaudit
git:20261009.1e21383 latest2026-10-09 1e21383 20,549 BA view · diff
git:20260916.35ffd552026-09-16 35ffd55 20,222 BA view · diff
git:20260820.ae5025a2026-08-20 ae5025a 21,022 BA view · diff
git:20260819.16a3f282026-08-19 16a3f28 21,022 BA view · diff
git:20260819.f383e472026-08-19 f383e47 21,023 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20549 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

GitHub

simota/agent-skills · 95 stars · license MIT · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_utdbwdu6b7mykmlw
GET https://markdownregistry.com/api/v1/resolve?ref=simota/agent-skills/darwin
GET https://markdownregistry.com/api/v1/blob/dbcca1c0993a43d462b884da73cdb9a931965bb2c1552449773ac744bf3a8d6e

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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Every file in simota/agent-skills

Other files named darwin

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