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-glossarygit 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-glossary)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-glossary"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-glossary/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-glossary"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-glossary.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 | $0.00055 | $0.02341 |
| Opus 5 | $0.00028 | $0.01171 |
| Sonnet 5 | $0.00011 | $0.00468 |
| Haiku 4.5 | $0.00006 | $0.00234 |
Grade A, and why
pm-glossary 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Project Glossary
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.
What this skill does
Builds and maintains a living glossary of terms used across the product development lifecycle - from discovery through launch. Captures business terms, domain entities, product artifacts, process concepts, rules, and abbreviations in a structured table.
This skill is continuous - it runs throughout the project, not in a single phase. It can be triggered:
- Manually by the user at any time (
/pm-glossary) - After completing a phase, to capture new terminology introduced
- When a term needs to be clarified or defined precisely
The glossary is additive: each run merges new entries with existing ones. Existing definitions are updated only if explicitly requested.
Dependencies
No hard dependencies. Can run at any point in the project.
Best used after:
pm-project-charter- captures initial product and business terminologypm-domain-model- generates the richest set of domain entities and relationshipspm-business-rules-library,pm-feature-design- introduces business rules and functional terms- Any phase completion - new terms surface naturally as phases complete
Step 0: Current state check
Check for an existing glossary artifact in pureinn-workspace/[project-slug]/artifacts/glossary.md.
Show state table:
| Artifact | Status | Detail |
|---|---|---|
| Glossary | ✅ / ❌ | [X terms / not yet created] |
If glossary exists: show a summary - how many terms, which domains are covered, when it was last updated.
Interaction: Group related questions (2-4 per round) and confirm before moving on. For any A/B/C/D choice, use the AskUserQuestion tool with one option marked (Recommended) - never print options as plain text. Keep open-ended questions free-text (don't fake options). If the user is unsure, propose 3-4 concrete options plus "Other". Surface an assumption the moment you make one; never fabricate to fill a gap. (Full standard: CLAUDE.md.)
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 · 233 lines · 55 tokens per session scan A 38e7530ddede
pm-glossary is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,341 once invoked, about $0.0003 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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