Agent skill

Autonomous Investigation

by deanpeters in deanpeters/Product-Manager-Skills

The protocol behind every investigation skill. An agent skill from deanpeters/Product-Manager-Skills.

Custom licenceAuto-check passed

Install Autonomous Investigation

skills CLI
$ npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install deanpeters/Product-Manager-Skills autonomous-investigation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autonomous-investigation .claude/skills/autonomous-investigation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
autonomous-investigation
GitHub stars
7.2k
Token cost
~3.1k tokens
SKILL.md length
1,493 words
Files
4
Skills in repo
75
Repo updated
First seen
Licence
Custom licence

At a glance

The protocol behind every investigation skill. An agent skill from deanpeters/Product-Manager-Skills.

  • Works in 7 steps: Question budget — a hard cap (usually 3)… → Search-plan gate — before researching,… → Evidence labels — every key claim… → …
  • AI research must proceed without you: search-plan gate
  • SKILL.md covers Purpose, Input, Key Concepts and Application, plus 3 more sections
  • Reaches github.com

What it does

Autonomous Investigation is an agent skill from deanpeters/Product-Manager-Skills. The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `examples/protocol-in-action-industrial.md`, `examples/protocol-in-action.md` and `template.md`).

The repository describes itself as: Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.

When your agent uses it

  • AI research must proceed without you: search-plan gate
  • Fact/Inference/Assumption labels
  • Confidence stacking
  • Diffable outputs

Example prompts

  • “/autonomous-investigation”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Question budget — a hard cap (usually 3) on clarifying questions. When the budget is spent or
  2. Search-plan gate — before researching, show a 3-bullet plan: what you'll search, which source
  3. Evidence labels — every key claim carries exactly one label
  4. Do-not-invent list — each investigation skill names its domain's specific fabrication risks
  5. Just Enough Mode — default output is the strongest findings in short bullets, sized to the
  6. Stable output schema — section order and structure never drift between runs, so run N and
  7. Final Step block — end with exactly 4 numbered next options (artifacts to build, deeper passes

What it can do on your machine

Read from SKILL.md and the folder at commit 1b5a524. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Autonomous Investigation loads about 3.1k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,493 words (~3,078 tokens).

“Provide the canonical contract for investigation skills — research the AI performs in the world (web search, published data, public filings) while you review the evidence instead of feeding it context. Where workshop-facilitation governs skills that ask you questions one…”

— opening of SKILL.md by deanpeters, Custom licence
name
autonomous-investigation
intent
Provide the canonical contract for autonomous research skills: a bounded question budget, a search-plan gate, three-level evidence labeling, do-not-invent…
type
workflow
theme
market-intelligence
best_for
Defining consistent behavior for research skills that run as agent tasks or on schedules, Keeping AI research honest: labeled evidence, real citations, no…
scenarios
Set up a competitive scan that can re-run quarterly without me babysitting it, I want research output where I can tell facts from the AI's guesses
estimated_time
protocol reference; investigations vary (15-45 min per run)

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in skills/autonomous-investigation of deanpeters/Product-Manager-Skills.

  • SKILL.md
  • examples/protocol-in-action-industrial.md
  • examples/protocol-in-action.md
  • template.md

Open the folder on GitHubat commit 1b5a524

Compare with similar skills

Autonomous Investigation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Autonomous Investigation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autonomous Investigation this skilldeanpeters/Product-Manager-Skills7.2k—~3.1kAutomated safety check: PassCustom licence
Root Cause Investigationgarrytan/gstack136k—~13kAutomated safety check: NotesMIT
Osint Investigationaffaan-m/ECC276k—~5.7kAutomated safety check: PassCC-BY-SA-4.0
Investigate CIClickHouse/ClickHouse50k—~11kAutomated safety check: NotesApache-2.0
Investigate Issuevideojs/video.js40k—~318Automated safety check: PassCustom licence
Investigating ReplayPostHog/posthog40k—~2.4kAutomated safety check: PassCustom licence

Similar skills

  • Debugs in four phases (investigate, analyze, hypothesize, implement) under one rule: no fix is made until the root cause is found.

    136k GitHub stars~13k tokensUpdated today
    DevelopmentAuto-check: notes
  • Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources.

    276k GitHub stars~5.7k tokensUpdated yesterday
    SecurityAuto-check passed
  • Investigate CI

    ClickHouse/ClickHouse

    Investigate a ClickHouse CI failure end-to-end from a PR or S3 report URL.

    50k GitHub stars~11k tokensUpdated today
    DatabasesAuto-check: notes
  • Investigate Issue

    videojs/video.js

    Investigate GitHub issues without changing code. An agent skill from videojs/video.js.

    40k GitHub stars~318 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Investigating Replay

    PostHog/posthog

    Official

    Investigates a session recording by gathering metadata, person profile, same-session events, and linked error tracking issues in one pass.

    40k GitHub stars~2.4k tokensUpdated yesterday
    DatabasesAuto-check passed
  • Investigating Logs

    PostHog/posthog

    Official

    Investigate logs in a PostHog project: verify a service or deployment is healthy, explain an error spike, triage an incident, or understand what a log stream is saying.

    40k GitHub stars~2.1k tokensUpdated yesterday
    DatabasesAuto-check passed

More from deanpeters/Product-Manager-Skills

All 75 skills in this repo
  • User Story Writer

    deanpeters/Product-Manager-Skills

    Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.

    7.2k GitHub starsUsed in 2 repos~2.9k tokens
    Auto-check passed
  • TAM SAM SOM Calculator

    deanpeters/Product-Manager-Skills

    Calculates total, serviceable available and serviceable obtainable market size for a product idea with explicit assumptions, methods and caveats.

    7.2k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Organic Growth Path Advisor

    deanpeters/Product-Manager-Skills

    Diagnoses where a growth constraint lives and recommends one organic growth path from the McKinsey Growth Pyramid to test first.

    7.2k GitHub starsUsed in 2 repos~5.2k tokens
    Auto-check passed
  • Prioritization Framework Advisor

    deanpeters/Product-Manager-Skills

    Picks the right prioritization framework for your stage and context instead of defaulting to RICE or ICE out of habit.

    7.2k GitHub starsUsed in 2 repos~4.2k tokens
    Auto-check passed
  • Strategic Roadmap Planning

    deanpeters/Product-Manager-Skills

    Sequences prioritization, epic definition, and stakeholder alignment into a release plan that ladders up to business outcomes.

    7.2k GitHub starsUsed in 2 repos~4.7k tokens
    Auto-check passed
  • User Story Mapping

    deanpeters/Product-Manager-Skills

    Lays out a user journey as activities, steps, and tasks on a two-dimensional map that then informs backlog slicing.

    7.2k GitHub starsUsed in 2 repos~2.8k tokens
    Auto-check passed

Questions about Autonomous Investigation

What does Autonomous Investigation do?

The protocol behind every investigation skill. An agent skill from deanpeters/Product-Manager-Skills. Autonomous Investigation is an agent skill from deanpeters/Product-Manager-Skills. The protocol behind every investigation skill.

When should I use Autonomous Investigation?

Autonomous Investigation fits situations like: AI research must proceed without you: search-plan gate; fact/Inference/Assumption labels; confidence stacking; diffable outputs.

How do I install Autonomous Investigation in Claude Code?

Run `npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation -a claude-code`. Or copy the skill folder (skills/autonomous-investigation in deanpeters/Product-Manager-Skills) into .claude/skills/autonomous-investigation in your project. Claude Code loads it when a task matches its description.

How do I install Autonomous Investigation in Codex?

Run `npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation -a codex`. Or copy the skill folder (skills/autonomous-investigation in deanpeters/Product-Manager-Skills) into .agents/skills/autonomous-investigation in your project. Codex loads it when a task matches its description.

Can I use Autonomous Investigation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autonomous-investigation, .gemini/skills/autonomous-investigation, .github/skills/autonomous-investigation and .opencode/skills/autonomous-investigation in your project.

What does Autonomous Investigation need to run?

SKILL.md names no scripts, command-line tools or credentials: Autonomous Investigation is instructions for the agent only.

Does Autonomous Investigation access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Autonomous Investigation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Autonomous Investigation use?

Autonomous Investigation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Autonomous Investigation use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Autonomous Investigation?

Skills that share tags, products or a category with Autonomous Investigation: Root Cause Investigation (garrytan/gstack, 136k stars), Osint Investigation (affaan-m/ECC, 276k stars), Investigate CI (ClickHouse/ClickHouse, 50k stars) and Investigate Issue (videojs/video.js, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autonomous Investigation?

deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,224 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 1, 2026.

Source: deanpeters/Product-Manager-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.