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 sakhilchawla/skillkit --skill investigategit clone --depth 1 https://github.com/sakhilchawla/skillkitWrote 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/sakhilchawla/skillkit/investigate)<a href="https://agentmods.dev/skills/sakhilchawla/skillkit/investigate"><img src="https://agentmods.dev/badge/skills/sakhilchawla/skillkit/investigate.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 5.1 | $0.00014 | $0.00446 |
| Opus 5 | $0.00007 | $0.00223 |
| Sonnet 5 | $0.00003 | $0.00089 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
investigate 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 7d 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
Investigate
Systematically debug $ARGUMENTS using evidence-based root cause analysis.
Phase 1: REPRODUCE
- Understand the reported symptom from $ARGUMENTS
- Find the relevant code: search for error messages, function names, or affected files
- Attempt to reproduce: run tests, trigger the code path, check logs
- If you cannot reproduce, gather more context before proceeding
- Document: "Reproduced: [yes/no]. Steps: [what you did]. Observed: [what happened]."
Phase 2: HYPOTHESIZE
- Based on reproduction, form 2-3 hypotheses for the root cause
- Rank hypotheses by likelihood
- For each hypothesis, identify what evidence would confirm or refute it
- Document: "Hypothesis 1: [description]. Evidence needed: [what to check]."
Do NOT propose fixes yet.
Phase 3: VERIFY
- Test the most likely hypothesis first
- Gather evidence: read code, add logging, check state, run isolated tests
- Confirm or refute each hypothesis with evidence
- If all hypotheses are refuted, return to Phase 2 with new information
- Document: "Confirmed: [hypothesis]. Evidence: [what proved it]."
Phase 4: FIX
Only after root cause is verified:
- Propose the minimal fix
- Explain WHY this fix addresses the root cause
- Write a regression test that fails without the fix and passes with it
- Verify no other tests break
Rules
- Never propose a fix before Phase 3 is complete
- Never guess — always gather evidence
- Prefer reading code over adding debug output
- If stuck, broaden the search: check git blame, recent changes, related files
- Document findings at each phase for future reference
What ships with it
2 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.
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.
- 7d ago First seen · 53 lines · 14 tokens per session scan A 0046751d2224
investigate is a skill published in the GitHub repository sakhilchawla/skillkit (6 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 446 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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