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/ospocc/agent-skill-howopen/skillsnpx skills add ospocc/agent-skill-howopen --skill skillsgit clone --depth 1 https://github.com/ospocc/agent-skill-howopenWrote 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/ospocc/agent-skill-howopen/skills)<a href="https://agentmods.dev/skills/ospocc/agent-skill-howopen/skills"><img src="https://agentmods.dev/badge/skills/ospocc/agent-skill-howopen/skills.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 | $0.00039 | $0.00363 |
| Opus 5 | $0.00019 | $0.00181 |
| Sonnet 5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
howopen 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 4d 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
howopen Skill
This skill allows the agent to perform an "Open Source Health Check" on the current project. It analyzes the technology stack, programming language distribution, and open-source licenses of dependencies.
When to use
- When the user asks for a project overview or "health check".
- When checking for open-source license compliance.
- When analyzing the tech stack of a new or existing project.
Instructions
- Run Analysis: Execute the
analyze_project.pyscript located in the scripts directory as this skill.python .agent/skills/howopen/scripts/analyze_project.py - Process Output: The script will output a JSON object containing:
tech_stack: A list of identified frameworks and tools.languages: A dictionary of languages and their percentage of the codebase.dependencies: A list of objects withname,version, andlicense.
- Generate Report: Create a Markdown report with the following sections:
-
🛠️ Technology Stack
A table listing the core frameworks and tools identified. -
📊 Language Distribution
A table showing the programming languages used and their percentage (sorted by percentage). -
⚖️ Open Source License Audit
A table listing dependencies, their versions, and their licenses. Highlight any "Unknown" or restrictive licenses (like GPL) if relevant.
-
Resources
scripts/analyze_project.py: Helper script for technical analysis.
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.
- 4d ago First seen · 34 lines · 39 tokens per session scan A 2f2f7b0060a2
howopen is a skill published in the GitHub repository ospocc/agent-skill-howopen (1 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 363 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 2026-08-31.
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