evograph SKILL.md skillA

evograph from skillberry-ai/cap-evolve is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillberry-ai/cap-evolve/evograph@git:20260904.802badb

Pins git:20260904.802badb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillberry-ai/cap-evolve
Path
skills/algorithms/evograph/SKILL.md
Versions recorded
5
Latest version
git:20260904.802badb, committed Sep 4, 2026
First version recorded
Jul 29, 2026
Size
5,593 bytes
Repository stars
66
License
Apache-2.0

Deprecated agent-mode algorithm (evo-graph port): a weakness-graph search that dispatched one solver agent per failure cluster and reverted a whole round on regression. Do not start new runs with it — its per-weakness fan-out is already `agent-optimize`'s sibling fan-out, done behind the honest val significance gate that evograph never applied, and everything else it did (failure clustering, rejected-edit memory, budget-aware fan-out, free-text stop condition) lives in `agent-optimize` +…

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

# evograph — DEPRECATED

**Do not select `algorithm_skill: evograph` for a new run.** Use `agent-optimize` (agent mode) or
`hill-climb` / `gepa` / `skillopt` (deterministic) with `memory_skill: wiki` if you want THIS run's
weakness-graph format. This file stays so an existing evograph run dir is still readable.

## Why it is deprecated

evograph advertised one distinctive capability — a collaborative weakness graph with one solver
agent per weakness, merged into a shared candidate each round. Measured against its four siblings,
that capability is not distinctive and the part that *was* distinctive was a defect:

- **The fan-out already exists, gated properly.** `agent-optimize` fans out N sibling candidates
  from the same parent, one diagnosed failure cluster each, every sibling in its own working copy
  (a git worktree when the capability is in git), gated **one at a time with a re-gate after each
  accept** so several fixes accumulate into one lineage honestly. That is evograph's round, minus
  the flaws below. The clustering itself is `phases/diagnose`'s job in both cases.
- **Acceptance was never held out.** evograph kept a merge on a raw delta over a frozen 3-task
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillberry-ai/cap-evolve/evograph@sha256:b46c14797b40c19f

The line at the top of this page pins the label git:20260904.802badb, 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_vztfanmhphza67td.svg)](https://markdownregistry.com/a/art_vztfanmhphza67td)

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

Versions

The registry has recorded 5 versions of this file, between Jul 29, 2026 and Sep 4, 2026, about one every 9 days. Its first recorded version is graded B and its latest A.

versioncommittedcommitsizeaudit
git:20260904.802badb latest2026-09-04 802badb 5,593 BA view · diff
git:20260822.af7cf9d2026-08-22 af7cf9d 5,101 BA view · diff
git:20260816.bac04eb2026-08-16 bac04eb 9,855 BA view · diff
git:20260729.6fca0972026-07-29 6fca097 10,031 BB view · diff
git:20260729.d4a6b172026-07-29 d4a6b17 9,995 BB 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 (5593 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

skillberry-ai/cap-evolve · 66 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vztfanmhphza67td
GET https://markdownregistry.com/api/v1/resolve?ref=skillberry-ai/cap-evolve/evograph
GET https://markdownregistry.com/api/v1/blob/b46c14797b40c19fe60febf9190f2c45dc727c557d805c6397794c2c8967f1cc

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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