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 ericwang915/PythonClaw --skill randomgit clone --depth 1 https://github.com/ericwang915/PythonClawWrote 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/ericwang915/pythonclaw/random)<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/random"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/random/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/ericwang915/pythonclaw/random"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/random.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.00380 |
| Opus 5.5 | $0.00024 | $0.00152 |
| Sonnet 5.5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
system_random 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 1mo 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
System Random Skill
Generate random numbers, UUIDs, passwords, and random picks.
When to Use
✅ USE this skill when:
- "Pick a random number between 1 and 100"
- "Generate a UUID"
- "Create a random password"
- "Pick 2 random items from [apple, banana, cherry]"
- "Random float between 0 and 1"
- User needs any form of randomness
When NOT to Use
❌ DON'T use this skill when:
- Cryptographic-grade randomness → use
secretsor crypto libraries - Shuffling large datasets → use shuffle/sample in code
- Reproducible seeded randomness → use random with seed in code
Usage/Commands
# Random integer in range
python {skill_path}/random_util.py --int 1 100
# Random float in range
python {skill_path}/random_util.py --float 0.0 1.0
# UUID
python {skill_path}/random_util.py --uuid
# Random password (default 16 chars)
python {skill_path}/random_util.py --password 20
# Pick N random items from a comma-separated list
python {skill_path}/random_util.py --choice "apple,banana,cherry,date" --count 2
Notes
- Uses bundled
random_util.pyCLI for all random generation - Password length is configurable via the integer argument
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.
- 1mo ago First seen · 52 lines · 61 tokens per session scan A 9669aeb218e8
system_random is a skill published in the GitHub repository ericwang915/PythonClaw (45 stars, last pushed 10d ago), licensed MIT. It adds 61 tokens to every session and 380 once invoked, about $0.0002 per session on Opus 5.5. 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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