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.
npx skills add qte77/claude-code-plugins --skill validating-product-market-fitgit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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.
[](https://agentmods.dev/skills/qte77/claude-code-plugins/validating-product-market-fit)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/validating-product-market-fit"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/validating-product-market-fit.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00806 |
| Opus 5 | $0.00021 | $0.00403 |
| Sonnet 5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
validating-product-market-fit 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validating Product-Market Fit (Phase 2)
Target: $ARGUMENTS
Phase 2 of the GTM pipeline. Depends on Phase 1B. Scores PMF across multiple dimensions using evidence from prior phases.
Mode Awareness
Read config/mode.md before starting:
concise— Overall PMF score + top 3 evidence points + top 2 risksdetailed— Full per-dimension scoring, evidence matrix, risk register with mitigationsconservative— Weight negative evidence heavily; set high evidence barambitious— Weight leading indicators and analogous market signals; accept proxy evidence
Inputs
results/phase-1b/market-analysis.md— Market sizing and buyer personasresults/phase-0/capability-profile.md— Technical capabilitiesresults/phase-1a/competitor-map.md— Competitive contextconfig/validation_criteria.md— Phase 2 quality gatesconfig/mode.md— Style and approach settings
PMF Scoring Dimensions
Score each dimension 1-10, then compute weighted average:
| Dimension | Weight | Description |
|---|---|---|
| Problem severity | 25% | How painful is the problem for buyers? |
| Solution fit | 25% | How well does the product solve it? |
| Market timing | 20% | Is the market ready? |
| Competitive moat | 15% | Can differentiation be sustained? |
| Distribution path | 15% | Is there a clear route to customers? |
Workflow
- Read all Phase 0, 1A, 1B outputs
- Score each dimension with evidence justification
- Compute weighted PMF score (0-10)
- Identify PMF risks — What would invalidate each dimension?
- Propose mitigations for top risks
- Validate against criteria — Check
config/validation_criteria.mdPhase 2 gates
Output
Write to results/phase-2/:
pmf-assessment.md
# Product-Market Fit Assessment
## PMF Score: [X.X] / 10
## Dimension Scores
| Dimension | Score | Evidence |
|-----------|-------|----------|
| Problem severity | [X]/10 | [evidence] |
| Solution fit | [X]/10 | [evidence] |
| Market timing | [X]/10 | [evidence] |
| Competitive moat | [X]/10 | [evidence] |
| Distribution path | [X]/10 | [evidence] |
## Evidence For PMF
- [evidence point] — Source: [phase output or URL]
## Evidence Against PMF
- [counter-evidence] — Source: [phase output or URL]
## PMF Risk Register
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| [risk] | H/M/L | H/M/L | [approach] |
## Recommendation
[Proceed to GTM / Iterate on product / Pivot hypothesis]
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.
- 6d ago First seen · 97 lines · 42 tokens per session scan A d073cd372ddf
validating-product-market-fit is a skill published in the GitHub repository qte77/claude-code-plugins (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 806 once invoked, about $0.0002 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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