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.

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

It turns one-time task routing into a traceable process that can detect failed routes and learn from verified results.

evolution — Skill by 2233admin

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.

agentmods

npx agentmods add skills/2233admin/reverse-skill-evolver/evolution

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.

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,462 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00047	$0.01462
Opus 5	$0.00023	$0.00731
Sonnet 5	$0.00009	$0.00292
Haiku 4.5	$0.00005	$0.00146

Measured 2d ago against content hash 05964a6d3957, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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 · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 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 -> oracle -> 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

NOW: Create or update a task-local GOAL using goal.template.yaml before choosing a route.
NOW: Read ../capability-graph.json if present; otherwise run ../scripts/refresh-tool-index.ps1 and use the generated graph.
NEXT: Use ../routing.json for machine routing and ../routing.md for human-readable fallback context.
ACT: Route to the selected child skill and record each material decision in a TraceCard.
END: Classify the result through the promotion gate before changing stable routing or skill docs.
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.

Use goal.template.yaml as the minimum shape. A route that cannot name its oracle is not ready to become an evolved skill.

Capability Graph

The capability graph is a session fact cache, not a wish list.

Required fields per tool or service:

Read the full file on GitHub · 133 lines

Files

What ships with it

8 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.

2d 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 (13 stars, last pushed 21d ago), licensed MIT. It adds 47 tokens to every session and 1,462 once invoked, about $0.0002 per session on Opus 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.

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