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 skills/genkovich/sdd/glossarynpx skills add genkovich/sdd --skill glossarygit clone --depth 1 https://github.com/genkovich/sddWrote 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/genkovich/sdd/glossary)<a href="https://agentmods.dev/skills/genkovich/sdd/glossary"><img src="https://agentmods.dev/badge/skills/genkovich/sdd/glossary.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 | $0.00263 | $0.02282 |
| Opus 5 | $0.00131 | $0.01141 |
| Sonnet 5 | $0.00053 | $0.00456 |
| Haiku 4.5 | $0.00026 | $0.00228 |
Grade A, and why
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 6d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: glossary
Lazy utility that fixes the meaning of a domain term in CONTEXT.md the moment it first surfaces, so its sense doesn't drift across the pipeline. For each term it captures a one-sentence canonical definition and — when the word is ambiguous — a NOT-reference naming the concept it's confused with. Runs anytime, with no upstream gate: a single term mid-interview, an undefined-term finding clarify resolves mid-sweep, or a batch handed over by specify. The output feeds specify (role + domain-term names) and design (invariants), which treat ## Glossary as canonical and override anything that contradicts it.
This is a capture utility, not a Socratic stage — it does not run the shared Socratic loop or critic. The one shared dependency is question phrasing:
→ ../_shared/ask-style.md
Term definitions follow artifact_language — the ## Glossary heading and the other H2s stay English, the frontmatter stays the template's (status: Living + updated_at: — never write artifact_language or any other settings key into the file) → ../_shared/artifact-language.md.
Owner
Whoever drives the conversation — anyone who spots ambiguity. Tech Lead approves the canonical form when a term is contested.
Inputs
<term>— the domain word/phrase to fix. If not given, ask for it.- (Optional)
<slug>— feature slug; targetsdocs/features/<slug>/CONTEXT.md. Absent → repo-rootCONTEXT.md. - (Optional)
pending_glossary_terms— a batch handed over byspecifyafter it writes the spec. Process each term in turn. - (Optional) an
undefined-termfinding fromclarify—clarifyinvokes this skill mid-stream, one term at a time, the moment such a finding is Resolved (it never invents a meaning inline; the canonical definition lands here). - (Optional) proposed phrasings already surfaced in an interview/brainstorm — offer them as definition options instead of asking blank.
What ships with it
1 file 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.
- 6d ago First seen · 87 lines · 263 tokens per session scan A 7fbbb3768de5
glossary is a skill published in the GitHub repository genkovich/sdd (119 stars, last pushed yesterday), licensed MIT. It adds 263 tokens to every session and 2,282 once invoked, about $0.0013 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.
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