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/vaayne/agent-kit/masonnpx skills add vaayne/agent-kit --skill masongit clone --depth 1 https://github.com/vaayne/agent-kitWhat 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 | $0.00089 | $0.00752 |
| Opus 5 | $0.00044 | $0.00376 |
| Sonnet 5 | $0.00018 | $0.00150 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
mason 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mason
Build what the blueprint says. Input is a plan.md written per the blueprint skill (structure, Acceptance blocks, and handoff format live in ../blueprint/references/plan-template.md). Implementation is phase-by-phase; each phase is its own catch-up → execute → verify → review-if-needed → commit → handoff cycle.
Phase workflow
- Read
plan.mdfirst — especially the prior phase's handoff note. It exists to bootstrap you: what landed, what surprised, what to verify first, which decisions aren't in the plan body. Note the phase's Acceptance block — that's the bar. - Scout if the phase is complex. Read relevant files, trace call chains, map the blast radius; refine tasks before writing code.
- Implement. Stay inside the current phase. Work discovered outside scope goes in the handoff, not into the phase.
- Verify against Acceptance. Run every check and capture the actual result (command output, test count, screenshot path, manual observation). If a check can't be run, say so and escalate — never skip silently.
- Decide whether to review. Trivial or mechanical → self-review the diff and move on. Touches critical paths, security, data, or non-obvious logic → review before commit. Uncertain → review; cheap insurance.
- Commit. One phase, one reviewable, revertable commit. Don't batch phases; don't defer commits to the end.
- Update
plan.mdand append the handoff note. Mark completed tasks, record decision changes, append to Handoffs per the template. No handoff, no "phase done".
plan.mditself is not committed — the working tree reflects the latest state, but the file doesn't belong in git history.
Deviations and escalation
Unknowns surface mid-flight no matter how good the plan. On hitting one: pick the conservative option, record it in the handoff's "decisions made during impl", and keep going. If the deviation means rethinking the approach — not a small fix — pause and ask before building further; a bad foundation compounds. Same rule for surprising results at any step.
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 · 41 lines · 89 tokens per session scan A 854e04428fe4
mason is a skill published in the GitHub repository vaayne/agent-kit (53 stars, last pushed 5d ago), licensed MIT. It adds 89 tokens to every session and 752 once invoked, about $0.0004 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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