Agent skill

Foundation Build Risk Review

by product-on-purpose in product-on-purpose/pm-skills

Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate…

Apache-2.0Auto-check passedProduct & Project Management

Install Foundation Build Risk Review

skills CLI
$ npx skills add product-on-purpose/pm-skills --skill foundation-build-risk-review -a claude-code

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

GitHub CLI
$ gh skill install product-on-purpose/pm-skills foundation-build-risk-review --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/product-on-purpose/pm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/foundation-build-risk-review .claude/skills/foundation-build-risk-review && 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
foundation-build-risk-review
GitHub stars
716
Token cost
~2.1k tokens
SKILL.md length
1,080 words
Files
8 (incl. references)
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate…

  • Works in 2 steps: Pre-build - a new idea, product, or MVP… → Feature-change - a feature request,…
  • Tasks that involve PRD writing
  • SKILL.md covers Hard gate, When to Use, When NOT to Use and Modes (route first; state the…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Foundation Build Risk Review is an agent skill from product-on-purpose/pm-skills. Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate first, pivot first, or don't build yet) with a no-code validation step. Use before committing build effort, when triaging whether to honor a feature request, or when deciding whether to expand scope, ahead of writing a PRD. For a launched product's pivot-or-persevere decision, use iterate-pivot-decision instead.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `HISTORY.md`, `evals/output-scenarios/ai-meeting-summarizer.md` and `evals/trigger-fixtures.json`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: 68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve PRD writing

Example prompts

  • “/foundation-build-risk-review”

Workflow steps

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

  1. Pre-build - a new idea, product, or MVP not yet built. The usual primary risks: demand and distribution.
  2. Feature-change - a feature request, scope expansion, requirement change, or competitor-copy on an in-progress product. The primary tool…

What it can do on your machine

Read from SKILL.md and the folder at commit 1cef1a9. 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

    No URLs in SKILL.md.

    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

Foundation Build Risk Review loads about 2.1k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 1,080 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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

The full file from product-on-purpose/pm-skills at commit 1cef1a9, republished under its Apache-2.0 licence (© product-on-purpose). 1,080 words, ~2,137 tokens.

Download SKILL.mdSave it as .claude/skills/foundation-build-risk-review/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
foundation-build-risk-review
description
Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate first, pivot first, or don't build yet) with a no-code validation step. Use before committing build effort, when triaging whether to honor a feature request, or when deciding whether to expand scope, ahead of writing a PRD. For a launched product's pivot-or-persevere decision, use iterate-pivot-decision instead.
license
Apache-2.0
metadata.classification
foundation
metadata.version
1.1.0
metadata.updated
2026-08-16
metadata.category
problem-framing
metadata.frameworks
triple-diamond, lean-startup
metadata.author
product-on-purpose
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
<!-- Adapted from bin1874/before-you-build-skill (Apache-2.0), repositioned PM-neutral. -->

Build Risk Review

Don't build it yet. First name the one assumption most likely to make it fail.

foundation-build-risk-review is a fast, pre-commitment gate for product decisions. Given an idea, a feature request, or a scope change, it returns a Build Risk Review: the single biggest risk, the evidence behind it, a verdict, and a concrete no-code validation step, then routes you to the skill that does the next piece of work. It is a foundation hub: its job is to triage and dispatch, not to duplicate the deeper skills.

Hard gate

Do not write code, scaffold a project, recommend a stack, or design implementation. First answer three things: should this be built, what is most likely to make it fail, and what must be validated before committing.

If the user says the work is for learning, a portfolio, or internal practice, do not judge it by market standards; still flag scope and clarity risks.

When to Use

  • A product idea, MVP, or new bet is about to turn into build work.
  • A feature request or scope change has arrived and you need to separate real demand from a polite ask, founder anxiety, or competitor-copying.
  • Someone wants a fast "should we build this?" verdict before a PRD, roadmap row, or ticket exists.

When NOT to Use

If the ask isUse instead
A launched product's pivot-or-persevere call, weighing usage or market dataiterate-pivot-decision
You have chosen the assumption and need to design the testdefine-hypothesis
Framing a confirmed problem for the team or leadershipdefine-problem-statement
The full nine-block business model, not a single-risk readfoundation-lean-canvas
Ranking many features or initiatives against each otherdefine-prioritization-framework

The boundary that matters most: this skill is forward-looking and pre-commitment (low or no data); iterate-pivot-decision is retrospective and post-launch (it weighs market feedback on something already shipped).

Modes (route first; state the mode at the top)

  1. Pre-build - a new idea, product, or MVP not yet built. The usual primary risks: demand and distribution.
  2. Feature-change - a feature request, scope expansion, requirement change, or competitor-copy on an in-progress product. The primary tool here is the demand hierarchy.

If the product is already launched and the question is whether to change direction, hand off to iterate-pivot-decision. If the request is too broad to review responsibly, ask exactly one clarifying question (complete the sentence: "this is for [who] in [situation] to solve [problem]"), then proceed. Never run a long questionnaire; at most two questions before a constrained review.

The review (the contract)

Produce a Build Risk Review with these parts:

  1. Biggest risk (R1). Exactly one primary risk, tagged from references/risk-taxonomy.md. Not a long inventory. Add at most three to five supporting risks (R2, R3, ...).
  2. Demand level (feature-change mode). Place the request on the hierarchy: L0 founder anxiety or "competitors have it"; L1 one user asked; L2 repeated asks, no behavior proof; L3 workflow blocker; L4 revenue or retention blocker. Build-now is usually justified only at L3 or L4.
  3. Evidence ledger. List the signal that exists and grade each entry on the strength ladder in references/risk-taxonomy.md. Likes, compliments, waitlists, and market-size numbers are NOT demand. Real files, booked calls, payment, repeated manual use, or switching from an existing alternative are.
  4. Verdict (exactly one): Build small / Validate first / Pivot first / Don't build yet. Do not use "Kill".
  5. Validation step. A specific, no-code or low-code next action (talk to the ten users who do X; manually deliver the result for three of them; collect a preorder, paid call, or deposit), never generic advice like "build an MVP" or "do user research".
  6. Routing. Send the user to the skill that does the next piece of work (see below).

Be skeptical but useful. Always separate "can be built" from "should be built". Do not flatter the idea or default to encouragement; do not say "this has potential" unless the path is specific.

Show full SKILL.md (434 more words)Show less

Verdict routing

VerdictRoutes to
Build smalldefine-problem-statement, then deliver-prd / deliver-user-stories
Validate firstdefine-hypothesis, then measure-experiment-design
Pivot firstfoundation-lean-canvas (re-frame the model)
Don't build yetstop; or discover-competitive-analysis / discover-market-sizing for an evidence check
Several competing requestsdefine-prioritization-framework

Full map, including the per-risk routing: references/routing-map.md.

If a routed skill is not available, do not ship a bare pointer. The library is often installed in part rather than whole, so the skill you route to may not exist in the user's environment. When you cannot confirm it is available, say so plainly and inline the minimal version of its output so the review stays executable:

Routed skill absentInline instead
define-hypothesisOne testable hypothesis in believe / for / will / as-measured-by form
measure-experiment-designA three-line experiment sketch: the one decision metric, the sample or duration needed, and the win/lose rule set before running
define-problem-statementA two-sentence problem frame: who, in what situation, blocked by what
foundation-lean-canvasThe three riskiest boxes only: problem, customer segment, unfair advantage
define-prioritization-frameworkA single ranked list with the one criterion that actually decides
discover-competitive-analysisThe two closest alternatives and the one axis on which you would lose to each today
discover-market-sizingOne bottom-up estimate: reachable accounts, times a realistic attach rate, times annual revenue per account, labelling each of the three as sourced or assumed. All three factors are required: accounts times attach rate is a customer count, not a market size
deliver-prdThe problem, the one success metric with its baseline, and what is explicitly out of scope
deliver-user-storiesThe three stories that carry the risk, each with one acceptance criterion that could fail

A verdict whose next step the user cannot execute is not a finished review. Naming the gap and supplying the minimum is always better than routing into an environment that cannot follow.

Output Format

A single Build Risk Review artifact, built from references/TEMPLATE.md. Section order: decision header (verdict + one-line rationale), the biggest risk (R1), supporting risks, demand level (feature mode), evidence ledger, validation plan, routing, Sources. A fully worked case is in references/EXAMPLE.md.

Quality Checklist

  • Exactly one primary risk is named (R1) and tagged from the taxonomy.
  • Feature-change mode places the request on L0 through L4.
  • Every evidence entry is graded; no like, waitlist, or market-size number is counted as demand.
  • Exactly one of the four verdicts is returned.
  • The next step is specific and low or no-code, not generic advice.
  • A routing target is named.
  • No code, stack recommendation, or implementation design is produced (the hard gate held).

Attribution

Adapted from bin1874/before-you-build-skill (Apache-2.0), repositioned PM-neutral. The source skill's external case-memory API call and translate-to-user-language behavior are removed.

© product-on-purpose, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/foundation-build-risk-review of product-on-purpose/pm-skills.

  • SKILL.md
  • HISTORY.md
  • evals/output-scenarios/ai-meeting-summarizer.md
  • evals/trigger-fixtures.json
  • references/EXAMPLE.md
  • references/TEMPLATE.md
  • references/risk-taxonomy.md
  • references/routing-map.md

Open the folder on GitHubat commit 1cef1a9

Compare with similar skills

Foundation Build Risk Review 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.

Foundation Build Risk Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Foundation Build Risk Review this skillproduct-on-purpose/pm-skills716—~2.1kAutomated safety check: PassApache-2.0
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Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT
Ralph Tui Create JSONsubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Foundation Build Risk Review

What does Foundation Build Risk Review do?

Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate…. Foundation Build Risk Review is an agent skill from product-on-purpose/pm-skills. Runs a fast pre-build risk review on a product idea, feature request, or scope change, naming the single assumption most likely to make it fail and returning a clear verdict (build small, validate first, pivot first, or don't build yet) with a no-code validation step.

When should I use Foundation Build Risk Review?

Foundation Build Risk Review fits situations like: tasks that involve PRD writing.

How do I install Foundation Build Risk Review in Claude Code?

Run `npx skills add product-on-purpose/pm-skills --skill foundation-build-risk-review -a claude-code`. Or copy the skill folder (skills/foundation-build-risk-review in product-on-purpose/pm-skills) into .claude/skills/foundation-build-risk-review in your project. Claude Code loads it when a task matches its description.

How do I install Foundation Build Risk Review in Codex?

Run `npx skills add product-on-purpose/pm-skills --skill foundation-build-risk-review -a codex`. Or copy the skill folder (skills/foundation-build-risk-review in product-on-purpose/pm-skills) into .agents/skills/foundation-build-risk-review in your project. Codex loads it when a task matches its description.

Can I use Foundation Build Risk Review 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 product-on-purpose/pm-skills --skill foundation-build-risk-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/foundation-build-risk-review, .gemini/skills/foundation-build-risk-review, .github/skills/foundation-build-risk-review and .opencode/skills/foundation-build-risk-review in your project.

What does Foundation Build Risk Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Foundation Build Risk Review is instructions for the agent only.

Does Foundation Build Risk Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Foundation Build Risk Review 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 Foundation Build Risk Review use?

Foundation Build Risk Review is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Foundation Build Risk Review use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Foundation Build Risk Review?

Skills that share tags, products or a category with Foundation Build Risk Review: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Foundation Build Risk Review?

product-on-purpose (a GitHub organization) maintains it in product-on-purpose/pm-skills, which has 716 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on October 8, 2026.

Source: product-on-purpose/pm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.