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evolution

evolution is a skill for Claude Code, Codex from 2233admin/reverse-skill-evolver. It costs 47 tokens per session (2,741 once invoked), scanned A, original, MIT.

A control layer for routing reverse-engineering and security tasks through smaller specialist workflows. It records goals, available tools, evidence, results, and whether a routing change should be kept.

In plain words
What is it for?
Planning end-to-end analysis work, selecting specialist skills, recording decisions and evidence, and validating proposed improvements before changing shared routing.
Why use it?
It turns one-time task routing into a traceable process that can detect failed routes and learn from verified results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 23repo +6 changed 7d ago A scan 47 tokens original MIT

Good fit Planning end-to-end analysis work, selecting specialist skills, recording decisions and evidence, and validating proposed improvements before changing shared routing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/2233admin/reverse-skill-evolver/evolution
View source ↗ 2233admin/reverse-skill-evolver
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add 2233admin/reverse-skill-evolver --skill evolution
Clone the repo
git clone --depth 1 https://github.com/2233admin/reverse-skill-evolver

Made for: Claude Code, Codex.

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 evolution

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/evolution/github.svg)](https://agentmods.dev/skills/2233admin/reverse-skill-evolver/evolution)
Your own site
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/evolution"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/evolution/github.svg" alt="Measured on agentmods" height="20"></a>

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 evolution

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/evolution"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/evolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,741 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.
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 $0.00047 $0.02741
Opus 5.5 $0.00019 $0.01096
Sonnet 5.5 $0.00009 $0.00548
Haiku 4.5 $0.00005 $0.00274

Measured 7d ago against content hash c4280f438e05, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evolution 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 7d 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.

skills/evolution/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evolution Control Plane

This skill turns the routing pack from "pick a static module" into a closed loop:

GOAL -> capability graph -> macro route -> micro route -> TraceCard -> evaluator feedback -> candidate search -> promotion gate

It does not replace apk-reverse, ida-reverse, js-reverse, pentest-tools, or the CTF skills. It wraps them with a target contract, local capability facts, step-level evidence, and controlled learning.

ACTION REQUIRED

  1. NOW: Create or update a task-local GOAL using goal.template.yaml before choosing a route.
  2. NOW: For OMP native IDA, record the current native tool schema and actual operation result through ../ida-reverse/SKILL.md. For external tools, read ../capability-graph.json if present; otherwise run ../scripts/refresh-tool-index.ps1 and use the generated graph.
  3. NEXT: Use ../routing.json for machine routing and ../routing.md for human-readable fallback context.
  4. ACT: Route to the selected child skill and record each material decision in a TraceCard.
  5. EVOLVE: When changing a skill or route, use the candidate search loop below; do not optimize by editing stable files directly.
  6. END: Classify the result through the promotion gate before changing stable routing or skill docs.
  7. DOGFOOD: When Code Intel emits code-intel-dogfood-finding.v1, read code-intel-dogfood-finding.md; keep the finding in candidate until a re-run oracle proves the proposed tool repair.

Goal Contract

Every non-trivial reverse/security task MUST define:

  • inputs: artifacts, URLs, package names, captures, binaries, scope text, or fixture IDs.
  • authorization_scope: CTF, own asset, lab fixture, bug bounty scope, or explicit engagement boundary.
  • desired_outputs: what the user actually needs, such as function map, bypass replay, decoded algorithm, PoC, report, or diagram.
  • success_oracles: deterministic checks that prove completion.
  • budgets: max time, max tool calls, model/tool escalation limits.
  • stop_conditions: what ends the task or requires user confirmation.

Read the full file on GitHub · 211 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago Changed · +2 lines c4280f438e05
  2. 10d ago Changed · +76 lines c75caf800b52
  3. 1mo ago First seen · 133 lines · 47 tokens per session scan A 05964a6d3957

Subscribe to this mod's changes

evolution is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (23 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 2,741 once invoked, about $0.0002 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.

Building agentsSecurityagent-skillsagent-swarmai-agentsandroidfridaida-pro
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