investigation-case

investigation-case is a skill for Claude Code from ivanhoinacki/team-exp-claude-config. It costs 118 tokens per session (5,499 once invoked), scanned A, original, MIT.

A forensic investigation workflow for bugs, incidents, and reported problems. It combines information from project notes, issue trackers, code, communication tools, and monitoring systems to reconstruct what happened and why.

In plain words
What is it for?
Use it to investigate incidents or bugs, cross-reference Jira, Slack, GitHub, Confluence, code, and monitoring data, and produce an English investigation case with a fix plan.
Why use it?
It replaces scattered evidence and guesswork with a documented timeline, root-cause analysis, and proposed fix plan. It also checks existing company knowledge before investigating.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it to investigate incidents or bugs, cross-reference Jira, Slack, GitHub, Confluence, code, and monitoring data, and produce an English investigation case with a fix plan.

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Install with agentmods
npx agentmods add skills/ivanhoinacki/team-exp-claude-config/investigation-case
Install

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.

Any agent
npx skills add ivanhoinacki/team-exp-claude-config --skill investigation-case
Clone the repo
git clone --depth 1 https://github.com/ivanhoinacki/team-exp-claude-config

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 investigation-case

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanhoinacki/team-exp-claude-config/investigation-case/github.svg)](https://agentmods.dev/skills/ivanhoinacki/team-exp-claude-config/investigation-case)
Your own site
<a href="https://agentmods.dev/skills/ivanhoinacki/team-exp-claude-config/investigation-case"><img src="https://agentmods.dev/badge/skills/ivanhoinacki/team-exp-claude-config/investigation-case/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.

agentmods 80×15 button for investigation-case

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanhoinacki/team-exp-claude-config/investigation-case"><img src="https://agentmods.dev/badge/skills/ivanhoinacki/team-exp-claude-config/investigation-case.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,499 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 original No closer match found 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 $0.00118 $0.05499
Opus 5 $0.00059 $0.02750
Sonnet 5 $0.00024 $0.01100
Haiku 4.5 $0.00012 $0.00550

Measured 11d ago against content hash d6a0300158eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

investigation-case 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 11d 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.

skills/investigation-case/SKILL.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigation Case -- Deep Forensic Investigation

Phase 0: Vault RAG (MANDATORY, BEFORE ANYTHING ELSE)

Before ANY file reads, grep, or codebase exploration, call query_vault with relevant keywords and service_filter. This is non-negotiable and must be the FIRST action after reading the task. The vault contains pitfalls, business rules, review learnings, and patterns that prevent rework. Skip = rework.

Purpose

Comprehensive investigation of bugs, incidents, or reported problems. Goes beyond triage (is it ours?) into deep forensic analysis: WHY it was built this way, WHAT business rules are involved, WHEN it broke, WHO touched it, and HOW to fix it using established company patterns.

Language

The Investigation-Case.md document MUST be written in English. All narrative text, section titles, analysis, and explanations must be in English. Technical terms (code snippets, file paths, PR titles, error messages, variable names) remain as-is. Tables use English headers.

Working Directories

  1. Obsidian workspace: __VAULT_ROOT__
  2. Codebase: __CODEBASE_ROOT__
  3. Investigation output: Development/BUG/{TICKET-ID}/ in the Obsidian workspace

References

File Content
references/channel-map.md Full Slack channel (4 tiers) and Confluence space (3 tiers) maps with IDs
references/evidence-agents.md Detailed prompts for the 7 parallel evidence collection agents
references/report-template.md Investigation Case document template
references/learnings.md Lessons from past investigations (review before starting)

Common Agent Mistakes

These mistakes have been observed across investigations and led to shallow reports, incorrect root causes, or wasted routing.

  1. Stopping too early: Concluding investigation with fewer than 10 evidence items. Why: shallow investigations miss the root cause and produce fix plans that address symptoms. The 10-item minimum forces breadth before depth.
  2. Ignoring service chain: Investigating only the reported service without resolving the full chain. Why: bugs in LE often span 3-5 services (e.g., www-le-customer -> svc-order -> svc-experiences -> svc-ee-offer). Investigating only one misses the actual failure point.
  3. Timestamp blindness: Collecting evidence without cross-referencing timestamps. Why: the timeline is the primary tool for identifying "what changed when it broke." Without timestamps, correlation is impossible.
  4. Single-source bias: Finding one strong lead in Slack and stopping the sweep. Why: Slack conversations often contain incomplete or incorrect assumptions. Cross-referencing with code, Datadog, and Confluence validates or invalidates the lead.
  5. Fixing instead of investigating: Starting to write fix code during investigation. Why: investigation produces a report and fix plan, not code. Premature fixing without full context often introduces new bugs. Use /debug-mode for implementation.
  6. Missing the human context: Not checking who was working on related code/tickets recently. Why: git blame, PR authors, and Slack thread participants often reveal critical context (e.g., "I changed this because of X constraint" in a PR body).

Read the full file on GitHub · 500 lines

Files

What ships with it

3 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. 11d ago First seen · 500 lines · 118 tokens per session scan A d6a0300158eb

Subscribe to this mod's changes

investigation-case is a skill published in the GitHub repository ivanhoinacki/team-exp-claude-config (2 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 5,499 once invoked, about $0.0006 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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