commit-like-pro: Skill for Claude Code

.claude/skills/bmad-investigate/SKILL.md

bmad-investigate is a skill for Claude Code from jeffrey2423/commit-like-pro. It costs 55 tokens per session (2,504 once invoked), scanned A, a copy of bmad-investigate, MIT.

A structured investigation skill for bugs, incidents, and unfamiliar code. It reconstructs what happened from available evidence and records findings in a case file another engineer can understand.

In plain words
What is it for?
Use it to investigate bugs, trace the cause of incidents, understand a code area, or build a documented technical case.
Why use it?
It prevents guesses from replacing evidence when tracing a problem or learning an unfamiliar area. It also preserves the investigation so work can be continued later.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

This is jeffrey2423/commit-like-pro's own configuration. It tells Claude Code how to work on commit-like-pro itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything commit-like-pro configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jeffrey2423/commit-like-pro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jeffrey2423/commit-like-pro/main/.claude/skills/bmad-investigate/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jeffrey2423/commit-like-pro

Made for: Claude Code.

Wrote 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.

agentmods badge for bmad-investigate

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeffrey2423/commit-like-pro/bmad-investigate.svg)](https://agentmods.dev/skills/jeffrey2423/commit-like-pro/bmad-investigate)
Your own site
<a href="https://agentmods.dev/skills/jeffrey2423/commit-like-pro/bmad-investigate"><img src="https://agentmods.dev/badge/skills/jeffrey2423/commit-like-pro/bmad-investigate.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,504 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.02504
Opus 5 $0.00028 $0.01252
Sonnet 5 $0.00011 $0.00501
Haiku 4.5 $0.00006 $0.00250

Measured 7d ago against content hash c544661dd73d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

bmad-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.

Origin

This is a copy

100% identical to bmad-investigate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/bmad-investigate/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 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.
  • 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:line from 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.

Read the full file on GitHub · 197 lines

Files

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.

Changes

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.

  1. 7d ago First seen · 197 lines · 55 tokens per session scan A c544661dd73d

Subscribe to this mod's changes

bmad-investigate is a skill published in the GitHub repository jeffrey2423/commit-like-pro (2 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 2,504 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to bmad-investigate, differing in 0 lines, and is treated as a copy.

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