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/axiomantic/spellbook/managing-artifactsnpx skills add axiomantic/spellbook --skill managing-artifactsgit clone --depth 1 https://github.com/axiomantic/spellbookWrote 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/axiomantic/spellbook/managing-artifacts)<a href="https://agentmods.dev/skills/axiomantic/spellbook/managing-artifacts"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/managing-artifacts.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 | $0.00049 | $0.01313 |
| Opus 5 | $0.00024 | $0.00656 |
| Sonnet 5 | $0.00010 | $0.00263 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
managing-artifacts 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 yesterday.
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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing Artifacts
Invariant Principles
- Never litter projects: Generated artifacts go to
~/.local/spellbook/, never project directories - Respect shared repos: Multi-contributor projects use fallback paths to avoid polluting the repo
- Consistent encoding: Always use project-encoded paths for organization
Standard Directory Structure
~/.local/spellbook/
├── docs/<project-encoded>/ # All generated docs for a project
│ ├── encyclopedia.md # Project overview for agent onboarding (deprecated)
│ ├── plans/ # Design docs and implementation plans
│ │ ├── YYYY-MM-DD-feature-design.md
│ │ └── YYYY-MM-DD-feature-impl.md
│ ├── audits/ # Test audits, code reviews, etc.
│ │ └── auditing-green-mirage-YYYY-MM-DD-HHMMSS.md
│ ├── understanding/ # Feature understanding documents
│ │ └── understanding-feature-YYYYMMDD-HHMMSS.md
│ └── reports/ # Analysis reports, summaries
│ └── simplify-report-YYYY-MM-DD.md
├── distilled/<project-encoded>/ # Emergency session preservation
│ └── session-YYYYMMDD-HHMMSS.md
└── logs/ # Operation logs
└── review-pr-comments-YYYYMMDD.log
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.
- yesterday First seen · 134 lines · 49 tokens per session scan A d2f6fabf3980
managing-artifacts is a skill published in the GitHub repository axiomantic/spellbook (10 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,313 once invoked, about $0.0002 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 2026-09-03.
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