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-feature-cardgit 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-feature-card)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-feature-card"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-feature-card/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-feature-card"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-feature-card.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 | $0.00095 | $0.03632 |
| Opus 5 | $0.00048 | $0.01816 |
| Sonnet 5 | $0.00019 | $0.00726 |
| Haiku 4.5 | $0.00010 | $0.00363 |
Grade A, and why
pm-feature-card 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 11d 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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Feature Card
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.
Artifact language
Checks state.json → artifact_language. Default (unset or "English"): no change in behavior.
- If set to a non-English language: write the card's prose (feature description, acceptance criteria narrative, rationale in Sections 1-4) in that language.
- Never translate:
FEAT-ID,BR-ID/TBL-IDreferences, frontmatter keys and enum values (status: 4_In_Build,layer:,priority:...), section headers (## Section 1 - Business Constraints, etc.), file names - these stay English always, regardless of the setting.
What this skill does
Manages Feature Cards in the FDD+SDD framework. A Feature Card is the atomic delivery unit - one card per feature, progressing through a defined lifecycle from initial walkthrough to immutable post-build history.
Card lifecycle:
| Status | Meaning | Who sets it |
|---|---|---|
1_Backlog |
Stub created, feature defined | pm-features-list (auto) |
2_Spec_Done |
JIT spec complete (Sections 1-3 populated) | pm-feature-design |
2b_In_Design |
(optional - frontend features only) UI / Figma design being created before build | pm-feature-design / designer |
3_Ready_to_Build |
Human approved spec (and design, if UI) | Human (Delivery Team) / Human solo confirm |
4_In_Build |
Build in progress | pm-stripe |
5_In_Review |
Code review in progress | Human / AI guardrail |
6_Shipped |
Complete - immutable history | pm-stripe after CI pass |
2b_In_Design is optional and layer-gated. Only a feature whose layer includes frontend passes through it (it has a UI to design in Figma). A pure backend / system feature goes straight 2_Spec_Done → 3_Ready_to_Build - it has nothing to design. So the path is:
- frontend feature:
2_Spec_Done → 2b_In_Design → 3_Ready_to_Build - backend / system feature:
2_Spec_Done → 3_Ready_to_Build(skips design)
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.
- 11d ago First seen · 319 lines · 95 tokens per session scan A c913e6d7dccb
pm-feature-card is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 3,632 once invoked, about $0.0005 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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