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 ljucask/pureinn-product-development --skill pm-prioritizegit clone --depth 1 https://github.com/ljucask/pureinn-product-developmentWrote 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/ljucask/pureinn-product-development/pm-prioritize)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-prioritize"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-prioritize/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-prioritize"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-prioritize.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00136 | $0.02324 |
| Opus 5 | $0.00068 | $0.01162 |
| Sonnet 5 | $0.00027 | $0.00465 |
| Haiku 4.5 | $0.00014 | $0.00232 |
Grade A, and why
pm-prioritize 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 12d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Prioritize (Backlog Prioritization Engine)
Agent mode (--agent)
Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.
- No flag → interactive (default); if inputs are heavy, offer agent mode.
--agent→ obey. First check inputs are complete. Anything missing: do NOT invent it - mark[ASSUMED - what/why]in the output and summary. Never hallucinate to fill a gap.- Review required: the artifact contains commitments - after drafting, require the user's review before finalizing; do not close decisions autonomously.
What this skill does
Prioritizes (or re-prioritizes) the feature backlog at any point in the lifecycle, on a basis you choose or one it proposes. It is the canonical prioritization engine - pm-features-list offers it for the first-time scoring, and you re-run it standalone whenever priorities shift (new market signal, investor input, strategy change, a fresh roadmap).
It is deliberately agile, not waterfall (per the Adaptive-execution standard in CLAUDE.md): it does not auto-impose a default order - it offers a basis (and proposes one with reasoning when you are unsure), reconciles against dependencies, shows the rationale and trade-offs, and only writes after you confirm. Re-running it iterates the order; it never destroys the KANO/V×C scores or the feature data.
Produces: an updated priority / sequence on features/feature_list.md (Priority column + explicit order), optional Delivery-Stripe re-assignment suggestions, and a logged prioritization entry (date + basis + rationale).
Relationship to the other prioritization touchpoints
| Skill | Role |
|---|---|
pm-features-list |
Creates the inventory + Dependency Map; offers the first-time prioritization (this engine's basis-selection), with KANO + V×C as the default lens |
| pm-prioritize | The re-runnable engine - apply any basis at any time, dependency-reconciled, explainable |
pm-mvp-scope |
Uses the prioritized order to make the IN/POST/CUT cut + stripe assignment |
pm-stripe |
Processes features in dependency order within each stripe |
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.
- 12d ago First seen · 163 lines · 136 tokens per session scan A e9b02d14e48d
pm-prioritize is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed 2d ago), licensed MIT. It adds 136 tokens to every session and 2,324 once invoked, about $0.0007 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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