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 skills add OpenLAIR/OpenSkill --skill evo-fuzz-env-runnergit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-fuzz-env-runner)<a href="https://agentmods.dev/skills/openlair/openskill/evo-fuzz-env-runner"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-fuzz-env-runner/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/openlair/openskill/evo-fuzz-env-runner"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-fuzz-env-runner.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 | $0.00041 | $0.00316 |
| Opus 5 | $0.00020 | $0.00158 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
evo-fuzz-env-runner 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 yesterday.
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
Fuzz Environment Runner
Sets up isolated Python virtual environments using uv, installs library dependencies and atheris, runs fuzz.py with LibFuzzer flags, and captures output to fuzz.log.
Workflow
- Create .venv using
uv venv .venvin each library directory - Install atheris and library dependencies via
uv pip install - Run fuzzer with
-max_total_time=10flag - Capture stdout+stderr to fuzz.log
Key Functions
setup_venv_with_uv(lib_path)- Create virtual environmentinstall_dependencies(lib_path, venv_path)- Install deps and atherisrun_fuzzer_with_timeout(lib_path, timeout_seconds=10)- Run fuzzer and log outputcapture_fuzz_log(lib_path)- Read fuzz.log contents
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-fuzz-env-runner/scripts')
from runner import setup_venv_with_uv, install_dependencies, run_fuzzer_with_timeout
venv = setup_venv_with_uv('/app/arrow')
install_dependencies('/app/arrow', venv)
run_fuzzer_with_timeout('/app/arrow', timeout_seconds=10)
What ships with it
1 file 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.
- yesterday First seen · 35 lines · 41 tokens per session scan A 701afa14c591
evo-fuzz-env-runner is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 41 tokens to every session and 316 once invoked, about $0.0002 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 2026-09-11.
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