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 Heyvhuang/ship-faster --skill deep-researchgit clone --depth 1 https://github.com/Heyvhuang/ship-fasterWrote 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/heyvhuang/ship-faster/deep-research)<a href="https://agentmods.dev/skills/heyvhuang/ship-faster/deep-research"><img src="https://agentmods.dev/badge/skills/heyvhuang/ship-faster/deep-research/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/heyvhuang/ship-faster/deep-research"><img src="https://agentmods.dev/badge/skills/heyvhuang/ship-faster/deep-research.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 | $0.00039 | $0.00247 |
| Opus 5 | $0.00019 | $0.00123 |
| Sonnet 5 | $0.00008 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
deep-research 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.
What it actually says
Deep Research (Explore)
Research $ARGUMENTS thoroughly.
Required output
- Findings: 3-10 bullets, each backed by specific file references
- Key code locations: a short list of the most important paths to read next
- Open questions / unknowns: what you could not confirm from the repo
Method
- Start broad: use Glob to find likely modules.
- Then go deep: use Grep to locate exact identifiers and call sites.
- Read the top-ranked files and follow references until the flow is clear.
- Stop when you hit diminishing returns (two additional searches yield no new information).
Rules
- Be evidence-driven: always cite file paths.
- Do not implement changes; this skill is for investigation only.
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 · 37 lines · 39 tokens per session scan A b3df4c6bc40a
deep-research is a skill published in the GitHub repository Heyvhuang/ship-faster (339 stars, last pushed 26d ago), licensed MIT. It adds 39 tokens to every session and 247 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 2026-08-30.
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