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/iii-experimental/agentos/evolvenpx skills add iii-experimental/agentos --skill evolvegit clone --depth 1 https://github.com/iii-experimental/agentosWhat 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 | $0.00018 | $0.00249 |
| Opus 5 | $0.00009 | $0.00125 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade B, and why
evolve scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
1. Generate: `curl -X POST http://localhost:3111/api/evolve/generate -H 'Content-Type: application/json' -d '{"goal": "<what>", "name": "<name>", "agentId": "claude-code"}'` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Generate: `curl -X POST http://localhost:3111/api/evolve/generate -H 'Content-Type: application/json' -d '{"goal": "<what>", "name": "<name>", "agentId": "claude-code"}'` What it actually says
Self-evolving functions:
- Generate:
curl -X POST http://localhost:3111/api/evolve/generate -H 'Content-Type: application/json' -d '{"goal": "<what>", "name": "<name>", "agentId": "claude-code"}' - Register:
curl -X POST http://localhost:3111/api/evolve/register -H 'Content-Type: application/json' -d '{"functionId": "<id>"}' - Evaluate:
curl -X POST http://localhost:3111/api/eval/run -H 'Content-Type: application/json' -d '{"functionId": "<id>", "input": {...}, "expected": {...}}' - Improve:
curl -X POST http://localhost:3111/api/feedback/review -H 'Content-Type: application/json' -d '{"functionId": "<id>"}'
Functions evolve through: draft -> staging -> production. The feedback loop auto-improves underperforming functions.
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 · 16 lines · 18 tokens per session scan B dfb390606608
evolve is a skill published in the GitHub repository iii-experimental/agentos (162 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 249 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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