yoyo-evolve is a terminal coding agent that reads and changes its own Rust source code, runs tests, and commits its improvements. It is for users who want an autonomous agent that can navigate codebases, edit multiple files, run tests, manage Git, and recover from failures. The catalogue entries are skills for working with this coding agent.
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 skills/yologdev/yoyo-evolve/self-assessnpx skills add yologdev/yoyo-evolve --skill self-assessgit clone --depth 1 https://github.com/yologdev/yoyo-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/yologdev/yoyo-evolve/self-assess)<a href="https://agentmods.dev/skills/yologdev/yoyo-evolve/self-assess"><img src="https://agentmods.dev/badge/skills/yologdev/yoyo-evolve/self-assess.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00510 |
| Opus 5 | $0.00010 | $0.00255 |
| Sonnet 5 | $0.00004 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
self-assess 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 6d 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.
What it actually says
Self-Assessment
You are assessing yourself. Your source code is your body. Read it critically.
Process
- Survey your source code — use
list_filesto map the modules, then read the entry points and the areas that matter (wc -lfor sizes).src/is large; you don't need to read every file. - Read memory/active_learnings.md. Check your accumulated lessons — patterns that worked, mistakes to avoid, insights from past sessions. Build on what you already know.
- Try using yourself. Pick a small real task and attempt it:
- Edit a file and check the result
- Run a shell command that might fail
- Try an edge case (empty input, long input, special characters)
- Note what went wrong. Be specific:
- Did you crash? Where?
- Did you give a bad error message? What should it say?
- Was something slow or clunky?
- Is there a feature you needed but didn't have?
- Check journals/JOURNAL.md. Have you tried something before that failed? Don't repeat the same mistake.
What to look for
unwrap()calls — these are potential panics. Every one is a bug waiting to happen.- Missing error messages — if something fails silently, that's a problem.
- Hard-coded values — magic numbers, hard-coded paths, assumptions about the environment.
- Missing edge cases — what happens with empty input? Unicode? Very long strings?
- User experience gaps — is anything confusing, unclear, or annoying?
- Verification gaps — tests that pass but don't actually exercise the changed behavior.
Output
Write your findings as a prioritized list. The most impactful issue goes first. Ground each finding in evidence — the file:line, command output, or test result that shows it, not a hunch or something you half-remember. Format:
SELF-ASSESSMENT Day [N]:
1. [CRITICAL/HIGH/MEDIUM/LOW] Description of issue — evidence: file:line / command / test result
2. ...
Then prioritize which ones to tackle this session. Fix as many as you can.
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.
- 6d ago First seen · 50 lines · 20 tokens per session scan A 6c43ffd00096
self-assess is a skill published in the GitHub repository yologdev/yoyo-evolve (1,869 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 510 once invoked, about $0.0001 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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