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/robzilla1738/roberts-skills/fuzzgit clone --depth 1 https://github.com/robzilla1738/roberts-skillsWrote 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/commands/robzilla1738/roberts-skills/fuzz)<a href="https://agentmods.dev/commands/robzilla1738/roberts-skills/fuzz"><img src="https://agentmods.dev/badge/commands/robzilla1738/roberts-skills/fuzz.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 | $0.00014 | $0.00267 |
| Opus 5 | $0.00007 | $0.00133 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
fuzz 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
Fuzz / property-test: $ARGUMENTS
Load and follow the fuzz skill at ${CLAUDE_PLUGIN_ROOT}/skills/fuzz/SKILL.md:
- Discover the target — a named function/surface, or run
python3 ${CLAUDE_PLUGIN_ROOT}/skills/bughunt/scripts/bughunt.py census --functionsto shortlist fuzzable pure functions. - Pick the technique (property-based, fuzzing, differential, or metamorphic) and design the oracle (round-trip, invariant, never-crash, agreement) — this is where the power is.
- Generate a harness in the project's existing test runner/library; ask before installing any new test dependency. Run under sanitizers where available.
- Execute it. On a failure: reproduce, shrink to the smallest input, keep or present it as a named regression test, and emit a findings entry marked
verified.verdict: upheld. With no test infra, generate + present the harness clearly marked not executed.
Writes test/harness code, not product fixes. If $ARGUMENTS is empty, ask which function/surface to harden and what invariant should hold.
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 · 15 lines · 14 tokens per session scan A 7f79eb7e6b3f
fuzz is a command published in the GitHub repository robzilla1738/roberts-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 267 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 2026-08-31.
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