Agent skill · Workflow & Productivity

autonomous-investigation

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.

deanpetersgithub.com/deanpetersGitHub ↗
claude-codeNOASSERTION
Install
npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/autonomous-investigation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,255
Language: Shell
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Autonomous Investigation Protocol ## Purpose 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 at a time, this protocol governs skills that *proceed without you*: they budget their questions, show their plan, label every claim, and produce output stable enough to diff against last quarter's run. That last property is the payoff — an investigation honoring this contract can run as an agent task, in a loop, or on a schedule. ## Input **Nothing required** — this skill defines the protocol other investigation skills follow. **Also useful when invoked standalone:** the target of the investigation and, above all, **the decision the research should support**. Research without a decision is a hobby; every investigation skill asks for the decision because it determines what "just enough" means. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it,

What's inside
Steps it walks through
  1. Purpose
  2. Input
  3. Key Concepts
  4. Two protocols, two jobs
  5. The contract
  6. The Confidence Stacking Rule
  7. Guardrails
  8. Application
  9. For skills implementing this protocol
  10. For agents running an investigation
  11. Examples
  12. Common Pitfalls
  13. References
Ships with 3 files
  • examples/protocol-in-action-industrial.md
  • examples/protocol-in-action.md
  • template.md
More from Product-Manager-Skills
All skills →
About this skill
What does the autonomous-investigation skill do?

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.

How do I install it?

Run `npx skills add deanpeters/Product-Manager-Skills --skill autonomous-investigation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From deanpeters/Product-Manager-Skills, a repository with 6,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going