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 agentmods add commands/adidacta/pmf-detective/plan-pmfgit clone --depth 1 https://github.com/adidacta/pmf-detectiveWrote 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/commands/adidacta/pmf-detective/plan-pmf)<a href="https://agentmods.dev/commands/adidacta/pmf-detective/plan-pmf"><img src="https://agentmods.dev/badge/commands/adidacta/pmf-detective/plan-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 | $0.00008 | $0.00414 |
| Opus 5 | $0.00004 | $0.00207 |
| Sonnet 5 | $0.00002 | $0.00083 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
plan-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 5d 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.
What it actually says
PMF Plan
Start the guided flow to build your complete PMF context layer.
Instructions
This command triggers the plan-pmf-mode skill which guides users through:
- ICP (Who your customer is)
- Value Proposition (Why they should care)
- MVP (Scope, features & requirements)
- Validation Plan (How you'll test your assumptions)
Read the plan-pmf-mode SKILL.md and follow its process.
Check for Existing Context
First, use Glob to check what already exists in pmf/:
pmf/icp.mdpmf/value-prop.mdpmf/mvp.md
If any exist, show what's already defined and ask: "You already have some context defined. Would you like to:
- Start fresh (will overwrite existing files)
- Continue from where you left off
- Update a specific section"
Starting Fresh
Begin with the welcome message:
┌───────────────────────────────────────────────────────────────┐
│ PMF CONTEXT BUILDER │
├───────────────────────────────────────────────────────────────┤
│ │
│ Let's build your PMF context layer. │
│ │
│ We'll work through 4 sections: │
│ 1. ICP - Who your customer is │
│ 2. Value Proposition - Why they should care │
│ 3. MVP - Scope, features & requirements │
│ 4. Validation Plan - How you'll test assumptions │
│ │
│ Each section becomes a reference file Claude uses │
│ when building anything for your product. │
│ │
└───────────────────────────────────────────────────────────────┘
Then proceed through the plan-pmf-mode skill's question flow.
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.
- 5d ago First seen · 57 lines · 8 tokens per session scan A 031f25754de3
plan-pmf is a command published in the GitHub repository adidacta/pmf-detective (18 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 414 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.