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/borda/ai-rig/createnpx skills add Borda/AI-Rig --skill creategit clone --depth 1 https://github.com/Borda/AI-RigWhat 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 | $0.00097 | $0.02209 |
| Opus 5 | $0.00048 | $0.01104 |
| Sonnet 5 | $0.00019 | $0.00442 |
| Haiku 4.5 | $0.00010 | $0.00221 |
Grade A, and why
create 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 2d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story arc four-beat: Problem → Journey → Insight → Action.
NOT for: implementation, code gen, README writing (use foundry:doc-scribe), structured ref docs (FAQs, comparison tables — use foundry:doc-scribe).
- $ARGUMENTS: optional — topic or goal, any form; one sentence enough. Format hints accepted ("a blog post about…", "talk abstract for…").
Task hygiene: Call TaskList; mark clearly-done tasks completed, orphaned tasks deleted, genuinely-continuing tasks in_progress.
Task tracking: TaskCreate all steps before any tool calls.
Step 1 — Parse topic and out-of-scope detection
- If $ARGUMENTS provided: extract topic; note embedded format hint.
- If no $ARGUMENTS: AskUserQuestion — "What are you trying to write about, and for whom?" (free text). After receiving the answer, re-check against out-of-scope conditions: if answer describes FAQs, comparison tables, feature matrices, README content, or docstrings — stop. Respond: "This format doesn't fit a narrative arc — use
foundry:doc-scribefor structured reference content." No further steps. - Out-of-scope gate (when $ARGUMENTS provided): if brief describes FAQs, comparison tables, feature matrices, or ref docs — stop. Respond: "This format doesn't fit a narrative arc — use
foundry:doc-scribefor structured reference content." No further steps.
Step 2 — Format and audience (1 AskUserQuestion call — 2 questions)
Format + audience (single AskUserQuestion call with 2 questions):
- Q1 "What content format?": (a) blog post · (b) conference / meetup talk with Marp slide deck ★ · (c) social thread (X/LinkedIn) · (d) talk abstract (CFP submission) · (e) lightning talk (5–10 min)
- Q2 "Who is the audience?": (a) beginners — new to problem space ★ · (b) intermediate — familiar with basics, seeking depth · (c) expert — know landscape, want novel insight · (d) describe your own profile
After answer: restate one sentence covering format + audience ("Got it — a [format] for [audience description].").
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.
- 2d ago First seen · 160 lines · 97 tokens per session scan A 06b6a2e9e080
create is a skill published in the GitHub repository Borda/AI-Rig (25 stars, last pushed 9d ago), licensed Apache-2.0. It adds 97 tokens to every session and 2,209 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 2026-08-30.
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