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 robzilla1738/roberts-skills --skill bughuntgit 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/skills/robzilla1738/roberts-skills/bughunt)<a href="https://agentmods.dev/skills/robzilla1738/roberts-skills/bughunt"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/bughunt/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/robzilla1738/roberts-skills/bughunt"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/bughunt.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 | $0.00156 | $0.04013 |
| Opus 5 | $0.00078 | $0.02006 |
| Sonnet 5 | $0.00031 | $0.00803 |
| Haiku 4.5 | $0.00016 | $0.00401 |
Grade A, and why
bughunt 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bughunt
An offensive, hotspot-driven bug-hunting workflow. Where the autoreview skill (/review)
is a defensive gate on your own diff, bughunt assumes the code is guilty and goes looking
for hidden defects in the riskiest parts of the target with explicit coverage reporting.
Read this hub first, run recon, then open only the spokes your hunt plan selects.
Mission
Find the bugs that tests, linters, and a tired reviewer miss — and make each claim carry
evidence. The output is a ranked, evidence-backed report, not a vibe. Default behavior is
report-only:
hunt, document, hand fixing to a human or the autoreview skill (/review). Never edit
product code unless the user asks.
What makes this powerful (not just a checklist)
- A deterministic spine — a bundled zero-dependency toolkit (
bughunt.py) ranks hotspots by churn × complexity × boundary × test-gap, surfaces pain signals (aged TODOs, config drift, risky deps), and owns structured findings: fingerprint, dedupe, suppress, baseline-diff, and render to markdown/HTML/SARIF with CI exit codes. See tooling.md. Degrades to a pure-markdown pipeline whenpython3is absent. - Breadth via fan-out — split the target into a grid of (lens × hotspot) cells and
run them as independent parallel hunters, so every risky area is examined through every
relevant lens. A capability ladder runs the same phases on whatever fan-out machinery the
tool has — the Workflow tool, an external coding-CLI fan-out (Composer 2.5 / Grok via
cursor-agent, the fast variant), parallel Tasks, or a sequential walk. See orchestration.md. - Depth via specialized lenses + platform catalogs — 13 lenses, each a distinct adversarial discipline (bugs, perf, DX, UX, supply-chain, data safety); each platform catalog encodes that ecosystem's specific footguns.
- Signal via mandatory verify + triage — a skeptic pass tries to refute every finding before it's reported (verification.md); survivors are confidence-rated, cross-validated, and reproduced by triage.
What ships with it
30 files 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.
- confirm.md 5.4 KB
- lens-auth-access.md 4.3 KB
- lens-boundaries-numeric.md 2.7 KB
- lens-concurrency.md 2.8 KB
- lens-contract-spec.md 3.2 KB
- lens-data-migration.md 5.8 KB
- lens-dataflow-taint.md 2.9 KB
- lens-dependency-supply.md 5.6 KB
- lens-dx-pain.md 6.3 KB
- lens-error-failure.md 3.1 KB
- lens-logic-correctness.md 3.7 KB
- lens-product-ux.md 5.4 KB
- lens-resource-performance.md 4.3 KB
- lens-state-lifecycle.md 2.6 KB
- orchestration.md 15 KB
- platform-apple.md 3.5 KB
- platform-backend-cli.md 4.2 KB
- platform-other.md 5.9 KB
- platform-systems.md 3.5 KB
- platform-web.md 3.5 KB
- README.md 5.5 KB
- recon-and-scoping.md 6.8 KB
- scripts/bughunt.py 57 KB runs code
- scripts/confirm-e2b.py 12 KB runs code
- scripts/hunt-cursor.mjs 17 KB runs code
- scripts/hunt-workflow.js 7.9 KB runs code
- scripts/schema/finding.schema.json 7.3 KB
- scripts/selftest.py 31 KB runs code
- tooling.md 11 KB
- verification.md 7.3 KB
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.
- 10d ago First seen · 229 lines · 156 tokens per session scan A 22836760d7e2
bughunt is a skill published in the GitHub repository robzilla1738/roberts-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 156 tokens to every session and 4,013 once invoked, about $0.0008 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.
Other skills, from other repositories
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find-bugs
Investigate reported or suspected bugs in this daisyUI monorepo, including proactive bug searches in packages/daisyui and packages/docs. Use when Codex must reproduce a defect, prove product impact, identify its root cause and isolation boundary, evaluate non-code solution options, or prepare a decision-ready bug-fix…
chromatic-diff
A diagnostic workflow for explaining why a Chromatic visual test changed. Chromatic is a service that compares screenshots of UI stories across builds.
test-fix
Diagnose and minimally fix a failing test, then re-run.
ios-ettrace-profiler
Before invoking Apple-only binaries, confirm the execution context is macOS. From Windows or Linux, run those steps in a Mac SSH project or through an already configured remote transport; do not retry missing Apple binaries locally.
macos-runtime-debugger
Before invoking Apple-only binaries, confirm the execution context is macOS. From Windows or Linux, run those steps in a Mac SSH project or through an already configured remote transport; do not retry missing Apple binaries locally.