Borrowing it
Nothing to install: this file belongs to salazarsebas/Cougr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/salazarsebas/Cougr/main/.claude/skills/investigate/SKILL.mdgit clone --depth 1 https://github.com/salazarsebas/CougrWrote 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/salazarsebas/cougr/investigate)<a href="https://agentmods.dev/skills/salazarsebas/cougr/investigate"><img src="https://agentmods.dev/badge/skills/salazarsebas/cougr/investigate/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/salazarsebas/cougr/investigate"><img src="https://agentmods.dev/badge/skills/salazarsebas/cougr/investigate.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 | $0.00053 | $0.02451 |
| Opus 5.5 | $0.00021 | $0.00980 |
| Sonnet 5.5 | $0.00011 | $0.00490 |
| Haiku 4.5 | $0.00005 | $0.00245 |
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 today.
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- bmad-investigate — 94% identical, 26 lines differ
- bmad-investigate — 94% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigate
Overview
Reconstruct what's happening, or what an unfamiliar area does, from the available evidence. Produce a structured case file another engineer can pick up cold. Calibrate continuously between defect-chasing (symptom-driven) and area-exploration (no symptom); the same discipline applies on both ends.
Args: A ticket ID, log file path, diagnostic archive, error message, code area name, problem description, or a path to an existing case file. The last form resumes a prior investigation; everything else opens a new case.
Output: {implementation_artifacts}/{workflow.case_file_subdir}/{workflow.case_file_filename}. Reference inputs
are recorded; raw content is not read into the parent context until an outcome calls for it.
{slug} is the ticket ID when one is provided, otherwise a short descriptive name agreed with the user, sanitized to
lowercase alphanumeric with hyphens. On collision with an existing case file at the resolved path, ask whether to
rename to slug-YYYY-MM-DD.md or resume the existing file (resuming routes to Outcome 0).
After every outcome, present what was learned and pause for the user before continuing.
Principles
- Evidence grading.
- Confirmed. Directly observed; cite
path:line, log timestamp, or commit hash. - Deduced. Logically follows from Confirmed evidence; show the chain.
- Hypothesized. Plausible but unconfirmed; state what would confirm or refute it.
- Confirmed. Directly observed; cite
- Stronghold first. Anchor in one Confirmed piece of evidence and expand outward. Never start from a theory and hunt for support. When evidence is sparse, switch to evidence-light mode (Outcome 1 branch).
- Challenge the premise. The user's description is a hypothesis, not a fact. Verify independently; if evidence contradicts, say so.
- Follow the evidence, not the narrative. When evidence contradicts the working theory, update the theory - never the other way around. Resist confirmation bias even when the user is convinced.
- Hypotheses are never deleted. Update Status (Open / Confirmed / Refuted) and add a Resolution. Wrong turns are part of the deliverable.
- Missing evidence is itself a finding. Document the gap, what it would resolve, and how to obtain it.
- Write it down early. Initialize the case file as soon as the slug is agreed; it is the persistent state across interruptions.
- Path:line citations use CWD-relative format, no leading
/, so they're clickable in IDE-embedded terminals. - Delegation discipline. When a step requires reading 5+ files or any file >10K tokens, delegate to a subagent
that returns structured JSON only. Cite
path:linefrom the result; don't re-read in the parent. - Issue independent operations in parallel (multi-grep, multi-read, parallel inventories) - one message, multiple tool calls.
- Communication. Evidence-first language ("the evidence shows", "unconfirmed, requires X to verify"). No hedging, no narrative.
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.
- today First seen · 195 lines · 53 tokens per session scan A 59089b694325
investigate is a skill published in the GitHub repository salazarsebas/Cougr (53 stars, last pushed 17d ago), licensed MIT. It adds 53 tokens to every session and 2,451 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 2026-11-07.
investigate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| investigatesalazarsebas/Cougr | Skill | 53 | 17d ago | MIT | A | 53 | Claude Code |
| alibabacloud-ecs-windows-os-troubleshootingaliyun/alibabacloud-ecs-troubleshoot-skills | Skill | 147 | 2d ago | Apache-2.0 | A | 215 | Claude Code, Codex |
| alibabacloud-ecs-linux-os-troubleshootingaliyun/alibabacloud-ecs-troubleshoot-skills | Skill | 147 | 2d ago | Apache-2.0 | A | 87 | Claude Code, Codex |
| et-test-runFlameskyDexive/Legends-Of-Heroes | Skill | 936 | 1mo ago | MIT | A | 63 | Claude Code, Codex |
| debugSummerEngine/summer-engine-agent | Skill | 59 | 1mo ago | MIT | A | 73 | Claude Code |
| tune-performanceSummerEngine/summer-engine-agent | Skill | 59 | 1mo ago | MIT | A | 94 | Claude Code |
| diagnosing-perf-regressionsSummerEngine/summer-engine-agent | Skill | 59 | 1mo ago | MIT | A | 58 | Claude Code |