Agent skill

Proof of Life Probe Selector

by deanpeters in deanpeters/Product-Manager-Skills

Matches a hypothesis and its risk to one of five Proof of Life probe types instead of defaulting to whichever tool you already know.

Custom licenceAuto-check passedProduct & Project Management

Install Proof of Life Probe Selector

skills CLI
$ npx skills add deanpeters/Product-Manager-Skills --skill pol-probe-advisor -a claude-code

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

GitHub CLI
$ gh skill install deanpeters/Product-Manager-Skills pol-probe-advisor --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/pol-probe-advisor .claude/skills/pol-probe-advisor && 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
pol-probe-advisor
GitHub stars
7.2k
Used in
1 other repo
Token cost
~5.3k tokens
SKILL.md length
2,595 words
Files
1
Skills in repo
75
Repo updated
First seen
Licence
Custom licence

At a glance

Matches a hypothesis and its risk to one of five Proof of Life probe types instead of defaulting to whichever tool you already know.

  • Works in 10 steps: Gather Context → Identify the Core Question → Recommend PoL Probe Type → …
  • Unsure which validation method fits a specific hypothesis
  • SKILL.md covers Purpose, Input, Key Concepts and Application, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Picking a validation method by tooling comfort, reaching for Figma because you know Figma rather than because it answers the actual risk, is the failure mode this guards against. It works backwards from the hypothesis to ask what specific risk needs eliminating and what the cheapest path to a harsh truth looks like, then matches the answer to one of five probe flavors: a feasibility check, a task-focused test, a narrative prototype, a synthetic data simulation, or a fifth option for cases the first four don't cover, each with its own core question, best-fit situation, and typical timeline.

When your agent uses it

  • Unsure which validation method fits a specific hypothesis
  • Choosing between a feasibility check and a task-focused test
  • Matching available time and resources to a probe type

Example prompts

  • “Which probe fits: mid-market HR teams trusting AI-drafted job descriptions, 2 weeks, no eng support?”
  • “We have 3 days and no engineering access, what should we test?”
  • “Pick a probe for validating whether users will pay for this before we build it.”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Gather Context
  2. Identify the Core Question
  3. Recommend PoL Probe Type
  4. Apply Component Skill
  5. Refine or Iterate (Optional)
  6. Choosing Based on Tooling Comfort
  7. Defaulting to Code
  8. Confusing Vibe-Coded Probes with MVPs
  9. Testing Multiple Things at Once
  10. Skipping Success Criteria

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

    Links to these hosts (documentation or services it may open):

    • deanpeters.substack.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

Proof of Life Probe Selector loads about 5.3k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 2,595 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~5.3k

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 2,595 words (~5,284 tokens).

“Guide product managers through selecting the right Proof of Life (PoL) probe type (of 5 flavors) based on their hypothesis, risk, and available resources. Use this when you need to eliminate a specific risk or test a narrow hypothesis, but…”

— opening of SKILL.md by deanpeters, Custom licence
name
pol-probe-advisor
argument-hint
[hypothesis or risk]
intent
Guide product managers through selecting the right **Proof of Life (PoL) probe** type (of 5 flavors) based on their hypothesis, risk, and available resources…
type
interactive
best_for
Choosing the cheapest useful validation method for a risky idea, Matching a hypothesis to the right Proof of Life probe, Avoiding overbuilding before learning…
scenarios
Which Proof of Life probe should I use to test demand for this idea?, Help me pick the right validation method for an onboarding hypothesis, I have a risky AI…
theme
validation-experiments
estimated_time
15-20 min

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/pol-probe-advisor of deanpeters/Product-Manager-Skills.

Open the folder on GitHubat commit 1b5a524

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in deanpeters/Product-Manager-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Proof of Life Probe Selector 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.

Proof of Life Probe Selector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Proof of Life Probe Selector this skilldeanpeters/Product-Manager-Skills7.2k1 repos~5.3kAutomated safety check: PassCustom licence
Agile Product Owneralirezarezvani/claude-skills28k3 repos~3.2kAutomated safety check: PassMIT
Idea Validatoraakashg/pm-claude-skills112—~2.3kAutomated safety check: PassMIT
Triagejoa23/linear-cli144—~699Automated safety check: PassMIT
Define Opportunity Treeproduct-on-purpose/pm-skills716—~1.1kAutomated safety check: PassApache-2.0
Topissuesfullsend-ai/fullsend150—~523Automated safety check: PassApache-2.0

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Questions about Proof of Life Probe Selector

What does Proof of Life Probe Selector do?

Matches a hypothesis and its risk to one of five Proof of Life probe types instead of defaulting to whichever tool you already know. Picking a validation method by tooling comfort, reaching for Figma because you know Figma rather than because it answers the actual risk, is the failure mode this guards against. It works backwards from the hypothesis to ask what specific risk needs eliminating and what the cheapest path to a harsh truth looks like, then matches the answer to one of five probe flavors: a feasibility check, a task-focused test, a narrative prototype, a synthetic data simulation, or a fifth option for cases the first four don't cover, each with its own core question, best-fit situation, and typical timeline.

When should I use Proof of Life Probe Selector?

Proof of Life Probe Selector fits situations like: unsure which validation method fits a specific hypothesis; choosing between a feasibility check and a task-focused test; matching available time and resources to a probe type.

How do I install Proof of Life Probe Selector in Claude Code?

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

How do I install Proof of Life Probe Selector in Codex?

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

Can I use Proof of Life Probe Selector 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 pol-probe-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pol-probe-advisor, .gemini/skills/pol-probe-advisor, .github/skills/pol-probe-advisor and .opencode/skills/pol-probe-advisor in your project.

What does Proof of Life Probe Selector need to run?

SKILL.md names no scripts, command-line tools or credentials: Proof of Life Probe Selector is instructions for the agent only.

Does Proof of Life Probe Selector access the network?

SKILL.md names 1 domain. As links in the text: deanpeters.substack.com. This is read from the text; nothing was executed.

Is Proof of Life Probe Selector 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 Proof of Life Probe Selector use?

Proof of Life Probe Selector 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 Proof of Life Probe Selector use?

About 5.3k tokens (SKILL.md is roughly 21k 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 Proof of Life Probe Selector?

Skills that share tags, products or a category with Proof of Life Probe Selector: Agile Product Owner (alirezarezvani/claude-skills, 28k stars), Idea Validator (aakashg/pm-claude-skills, 112 stars), Triage (joa23/linear-cli, 144 stars) and Define Opportunity Tree (product-on-purpose/pm-skills, 716 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Proof of Life Probe Selector?

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.