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/ilearn-lab/evoharness/evolution-auditgit clone --depth 1 https://github.com/iLearn-Lab/EvoHarnessWhat 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 | $0.00012 | $0.00155 |
| Opus 5 | $0.00006 | $0.00077 |
| Sonnet 5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
evolution-audit 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 19 lines · 12 tokens per session scan A 197867e50e41
evolution-audit is a command published in the GitHub repository iLearn-Lab/EvoHarness (59 stars, last pushed 2mo ago), with no licence file. It adds 12 tokens to every session and 155 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.
Other commands, from other repositories
harness
Package ctx as an AI coding harness integration (Claude Code).
serve
Start ctx as an MCP (Model Context Protocol) server for AI assistant integration.
smart
Intelligently select files relevant to a task description using embeddings and call graph analysis.
harness-parallel
Run the parallel Auto-Harness orchestration flow with worktree workers. /auto-harness:harness-parallel.
harness
Run the full Auto-Harness orchestration flow. /auto-harness:harness.
star-auto
The user has typed star-auto — this file is what that invocation runs. Typing it is the auto grant of conventions §10.7: while this run pursues its goal, the skill each next action names may be started without further naming, the seven explicit-only ones included, and a prepared STOP-line command may be launched…