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.
npx agentmods add commands/gobing-ai/superskill/skill-evolvegit clone --depth 1 https://github.com/gobing-ai/superskillWhat 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 | $0.00013 | $0.00942 |
| Opus 5 | $0.00006 | $0.00471 |
| Sonnet 5 | $0.00003 | $0.00188 |
| Haiku 4.5 | $0.00001 | $0.00094 |
Grade A, and why
skill-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 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.
This is a copy
86% identical to agent-evolve — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Evolve
Wraps cc:cc-skills skill.
Analyze skill quality over time, draft heuristic proposals for declining/flat-low dimensions, apply proposals through the double-loop gate, and rollback to prior versions via saved snapshots. Delegates to cc:cc-skills skill.
When to Use
- Analyze trends, data sources, and patterns without writing a proposal (
--analyze) - Generate proposals after evaluation drift or repeated review feedback (
--propose-only) - Apply proposals through the deterministic double-loop gate with backup and rollback (
--accept,--rollback) - Track applied versions over time (
--history)
Arguments
| Argument | Description | Default |
|---|---|---|
<name> |
Name of the skill (dir name or path to SKILL.md) | (required) |
--analyze |
Print trend table, score/grade, data-source inventory, and pattern summary | false |
--from <date> |
Analyze evaluations since date (ISO 8601) | latest |
--propose-only |
Draft proposals without applying | false |
--accept <id> |
Apply a saved proposal by ID | - |
--reject <id> |
Reject a saved proposal by ID | - |
--history |
List applied proposal versions from the store | false |
--rollback <id> |
Restore a prior version by proposal_id (requires --confirm) |
- |
--confirm |
Confirm a destructive operation (required for --rollback) |
false |
--ingest <file> |
Agent-authored proposal JSON (ingest-in mode) | - |
--json |
Output machine-readable JSON (envelope-out with --propose-only) |
false |
--margin <n> |
Δ-margin gate threshold for accept (default 0.05) | 0.05 |
--eval-gate |
Enable the empirical behavior gate when eval cases exist | false |
--target |
Target platform | claude |
Examples
# Generate persisted proposals
/cc:skill-evolve ./skills/my-skill/SKILL.md --propose-only
# Analyze trends without writing a proposal
/cc:skill-evolve ./skills/my-skill/SKILL.md --analyze
# Apply a proposal
/cc:skill-evolve ./skills/my-skill/SKILL.md --accept skill-evolve-2026-06-22-001
# List applied versions
/cc:skill-evolve ./skills/my-skill/SKILL.md --history
# Rollback to a prior version
/cc:skill-evolve ./skills/my-skill/SKILL.md --rollback skill-evolve-2026-06-22-001 --confirm
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 · 82 lines · 13 tokens per session scan A 7ee887d28c20
skill-evolve is a command published in the GitHub repository gobing-ai/superskill (5 stars, last pushed 6d ago), licensed Apache-2.0. It adds 13 tokens to every session and 942 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to agent-evolve, differing in 33 lines, and is treated as a copy.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.