Borrowing it
Nothing to install: this file belongs to davidmatousek/tachi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidmatousek/tachi/main/.claude/skills/~aod-plan/SKILL.mdgit clone --depth 1 https://github.com/davidmatousek/tachiWrote 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/davidmatousek/tachi/aod-plan)<a href="https://agentmods.dev/skills/davidmatousek/tachi/aod-plan"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/aod-plan/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/davidmatousek/tachi/aod-plan"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/aod-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 19 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00064 | $0.02740 |
| Opus 5.5 | $0.00026 | $0.01096 |
| Sonnet 5.5 | $0.00013 | $0.00548 |
| Haiku 4.5 | $0.00006 | $0.00274 |
Grade A, and why
~aod-plan 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ~aod-plan — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Stage Orchestrator Skill
Purpose
Orchestrates the full Plan stage by running spec → project-plan → tasks in sequence. After each sub-step completes and its governance review passes (APPROVED), the orchestrator automatically advances to the next sub-step. If any review returns CHANGES_REQUESTED or BLOCKED, the orchestrator stops and reports the rejection so the user can fix and re-run /aod.plan to resume.
With 1M context, all three artifacts and their reviews fit comfortably in a single session.
How It Works
Step 1: Determine Feature Context
- Get branch:
git branch --show-current→ extract NNN prefix - If on
mainand a PRD exists (e.g.,docs/product/02_PRD/{NNN}-*.md), automatically create the feature branch (git checkout -b {NNN}-{kebab-name}) per git workflow rules. Do NOT ask the user — feature branches are mandatory, not optional. - Open Draft PR: After creating the branch, push it and open a draft PR so work is visible early:
Ifgit commit --allow-empty -m "chore({NNN}): open feature branch" git push -u origin {NNN}-{kebab-name} gh pr create --draft \ --title "{NNN}: {Feature Name}" \ --body "Draft PR for feature {NNN}. Opened automatically at plan stage."ghis unavailable, skip silently (graceful degradation). Store the PR number for later use. - Derive specs directory:
specs/{NNN}-*/ - If no specs directory found, check
.aod/spec.mdas fallback - If no feature context found: warn and suggest
/aod.definefirst
Step 2: Read Artifact States
For each artifact (spec.md, plan.md, tasks.md), determine its approval status:
- Check file existence — if file cannot be read (missing, permissions, encoding), treat as "does not exist"
- Parse YAML frontmatter — extract the
triad:block between---delimiters - Extract sign-off status — read
triad.{role}_signoff.statusfor the required reviewers
Step 3: Evaluate Frontmatter (with error handling)
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.
- 1mo ago First seen · 194 lines · 64 tokens per session scan A ff1811f3b4b7
~aod-plan is a skill published in the GitHub repository davidmatousek/tachi (94 stars, last pushed 4d ago), licensed Apache-2.0. It adds 64 tokens to every session and 2,740 once invoked, about $0.0003 per session on Opus 5.5. 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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