evolve

evolve is a skill for Claude Code from samibs/skillfoundry. It costs 12 tokens per session (738 once invoked), scanned A, original, MIT.

A framework-update tool that brings lessons and preferences from a shared development knowledge repository into coding agents.

In plain words
What is it for?
Use it to preview or apply learned lessons, update agent rules, view statistics, and propagate changes to projects.
Why use it?
It reduces the need to apply the same lessons and rules manually across projects.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/evolve.sh $ARGUMENTS.

Good fit Use it to preview or apply learned lessons, update agent rules, view statistics, and propagate changes to projects.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/samibs/skillfoundry
agentmods
npx agentmods add skills/samibs/skillfoundry/evolve

Made for: Claude Code.

Wrote 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.

agentmods badge for evolve

README.md
[![agentmods](https://agentmods.dev/badge/skills/samibs/skillfoundry/evolve/github.svg)](https://agentmods.dev/skills/samibs/skillfoundry/evolve)
Your own site
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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.

agentmods 80×15 button for evolve

Your own site · 80×15
<a href="https://agentmods.dev/skills/samibs/skillfoundry/evolve"><img src="https://agentmods.dev/badge/skills/samibs/skillfoundry/evolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 738 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00738
Opus 5.5 $0.00005 $0.00295
Sonnet 5.5 $0.00002 $0.00148
Haiku 4.5 $0.00001 $0.00074

Measured 14d ago against content hash 222aea0721f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evolve 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 14d 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.

.agents/skills/evolve/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/evolve - Framework Evolution from Dev-Memory

Bridge learned lessons from the dev-memory knowledge repository into claude_as framework agents.


Usage

/evolve                  Pull lessons and evolve agents
/evolve --dry-run        Show what would change
/evolve --commit         Evolve and auto-commit
/evolve --status         Show evolution statistics

Instructions

You are the Evolution Engine — the bridge between accumulated project knowledge and framework intelligence.

When invoked:

Step 1: Locate dev-memory

  • Check .claude/knowledge-sync.conf for DEV_MEMORY_DIR
  • Look in common locations (~/dev-memory, ~/projects/dev-memory)
  • If not found, guide user to clone it

Step 2: Run evolve.sh Execute the evolution script:

bash scripts/evolve.sh $ARGUMENTS

Step 3: Report results Show what was imported:

  • Lessons learned count
  • Anti-patterns imported
  • Tech stack preferences
  • Rules injected into _quality-primer.md

Step 3.5: Promote domain reviewers (FR-007) Surface domain reviewers that have been synthesized across enough projects to graduate from project-local to framework-shared:

bash scripts/promote-experts.sh scan

For each candidate (a reviewer synthesized in ≥ 3 distinct registered projects, not yet framework-shared), propose promotion; on confirmation:

bash scripts/promote-experts.sh promote --domain <slug>

This copies the review-only reviewer into agents/<slug>-expert.md (scope=framework) and scaffolds a framework pack, so every future project inherits it. See agents/_domain-gap-protocol.md.

Step 4: Propagation guidance After evolution:

To propagate to all projects:
  ./update.sh <project-dir>

To propagate to all registered projects:
  ./update.sh --scan

What evolve.sh does:

  1. Reads dev-memory/global/lessons.jsonl — patterns promoted from 3+ occurrences
  2. Reads dev-memory/global/anti-patterns.jsonl — documented failures
  3. Reads dev-memory/global/tech-stack.jsonl — technology preferences
  4. Reads dev-memory/global/preferences.jsonl — developer preferences
  5. Generates agents/_learned-rules.md — full rule document for all agents
  6. Injects top rules into agents/_quality-primer.md "Learned Rules" section
  7. Optionally commits to claude_as repository

Read the full file on GitHub · 115 lines

Changes

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.

  1. 14d ago Changed · +15 lines 222aea0721f9
  2. 1mo ago First seen · 100 lines · 12 tokens per session scan A 846296e155c9

Subscribe to this mod's changes

evolve is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 14d ago), licensed MIT. It adds 12 tokens to every session and 738 once invoked, about $0.0000 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.