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 heyparsadev/claude-venture-plugin --skill pmfgit clone --depth 1 https://github.com/heyparsadev/claude-venture-pluginWrote 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/heyparsadev/claude-venture-plugin/pmf)<a href="https://agentmods.dev/skills/heyparsadev/claude-venture-plugin/pmf"><img src="https://agentmods.dev/badge/skills/heyparsadev/claude-venture-plugin/pmf.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 | $0.00129 | $0.01317 |
| Opus 5 | $0.00064 | $0.00659 |
| Sonnet 5 | $0.00026 | $0.00263 |
| Haiku 4.5 | $0.00013 | $0.00132 |
Grade A, and why
pmf 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 8d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PMF Assessment — Measure, Score, Decide
Answer the scariest question honestly: does anyone need this enough? Two jobs depending on what exists: design measurement (no data yet) or assess and decide (data exists). The output is a decision aid — strong/weak/no fit, why, and what to do about it.
Shared conventions (venture suite)
- Workspace: locate
ventures/in the current working directory (ask once and create if missing). All outputs go toventures/<slug>/<NN-module>/. - Templates are read-only. Files under a skill's
references/live inside the installed plugin and are shared by every venture. Never write to them. "Fill template X" always means: copy it intoventures/<slug>/<NN-module>/under a dated name and fill the copy. - Read
VENTURE.mdfirst. When done: update its Status table and append key findings to "Key facts & numbers" (format:- [module, YYYY-MM-DD] finding (source, confidence)). - Language: converse in the user's language. Write formal deliverables (reports, canvases, battlecards) in the
report_languageset in VENTURE.md. Persian reports keep standard English business terms as-is (TAM, SAM, SOM, CAC, LTV, GTM, churn, retention...). - Research integrity: cite every external claim (source + date). Mark every estimate with confidence (high/med/low). Never fabricate numbers — write "no data found" instead.
- Chain: end by updating VENTURE.md and suggesting the logical next module.
Workflow
1. Establish what data exists
Ask the user what they have (don't assume): user counts, retention by cohort, usage frequency, churn, NPS, Sean Ellis survey results, revenue/renewals, qualitative feedback, support logs. Also read 01-discovery/ and "Key facts" for prior signals.
- Little/no data, or pre-launch → Mode A: design measurement.
- Real usage data → Mode B: assess.
2A. Mode A — Design the measurement plan
Produce 04-pmf/pmf-measurement-plan-YYYY-MM-DD.md containing:
- Sean Ellis survey customized to the product from
references/sean-ellis-survey.md(translated to the users' language — survey language = customers' language, regardless of report language), with delivery and sampling instructions (who to ask: people who used the product ≥2× recently; minimum n≈30–40). - Instrumentation shortlist: the 3–5 metrics worth tracking for this business type (from
references/signal-benchmarks.md) and how to capture them cheaply. - Decision date: when to come back and run Mode B.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 59 lines · 129 tokens per session scan A 6cc6656e3a40
pmf is a skill published in the GitHub repository heyparsadev/claude-venture-plugin (5 stars, last pushed 27d ago), licensed MIT. It adds 129 tokens to every session and 1,317 once invoked, about $0.0006 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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