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.
git clone --depth 1 https://github.com/avibebuilder/claude-primenpx agentmods add skills/avibebuilder/claude-prime/self-evolveWrote 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.
[](https://agentmods.dev/skills/avibebuilder/claude-prime/self-evolve)<a href="https://agentmods.dev/skills/avibebuilder/claude-prime/self-evolve"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/self-evolve/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.
<a href="https://agentmods.dev/skills/avibebuilder/claude-prime/self-evolve"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/self-evolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00144 | $0.01759 |
| Opus 5.5 | $0.00058 | $0.00704 |
| Sonnet 5.5 | $0.00029 | $0.00352 |
| Haiku 4.5 | $0.00014 | $0.00176 |
Grade A, and why
self-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ultrathink.
Wire Mode: Apply Self-Improvement Proposals
When scope is (none), or when pending proposals exist and user says "ok":
Fetching proposals:
python3 .claude/hooks/self-improve/self_improve_db.py resolve list
Step 0: Consolidate before showing
User attention is finite — showing 12 proposals when 4 are duplicates, 3 already exist in rules, and 2 are noise wastes their focus on what matters. Before presenting anything, read the existing config (.claude/rules/, CLAUDE.md, CLAUDE.local.md, active skills) to understand what's already there. Then filter: proposals already covered by existing rules, duplicates of each other, and low-value noise that wouldn't improve agent behavior. Merge proposals addressing the same pattern into one entry with the clearest rationale.
Tell the user what you filtered: "Showing X of Y proposals (Z filtered)."
After user finishes reviewing visible proposals, batch-reject the filtered ones:
python3 .claude/hooks/self-improve/self_improve_db.py resolve <id1>,<id2>,... rejected
For each shown proposal, ask the user to approve or reject.
Step 1: Classify — where does it belong?
| Test | Question | If Yes |
|---|---|---|
| Rule test | "Will an agent still produce incorrect code without this, even with the skill active?" | → Rule (.claude/rules/) |
| Skill test | "Is this a repeatable process/workflow, not a constraint?" | → Skill — rare |
| On-demand ref | "Is this project-specific architecture/context, not a behavioral rule?" | → Reference file pointed from CLAUDE.md |
| Personal pref | "Is this specific to this user, not team-shared?" | → CLAUDE.local.md (gitignored) |
| Default | None clearly match? | → Rule (safest default) |
~80% of proposals become rules — the pipeline detects behavioral corrections, and corrections are rules by definition.
Step 2: Read existing content, check for overlap
Read all files in the target location. Scan for semantic overlap — does an existing rule/section already cover this?
What ships with it
2 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.
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.
- 1mo ago First seen · 119 lines · 144 tokens per session scan A e225f37fa1cf
self-evolve is a skill published in the GitHub repository avibebuilder/claude-prime (120 stars, last pushed 5mo ago), licensed MIT. It adds 144 tokens to every session and 1,759 once invoked, about $0.0006 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.
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