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/davidmatousek/agentic-oriented-development-kit/aod-plannpx skills add davidmatousek/agentic-oriented-development-kit --skill aod-plangit clone --depth 1 https://github.com/davidmatousek/agentic-oriented-development-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 | $0.00064 | $0.02740 |
| Opus 5 | $0.00032 | $0.01370 |
| Sonnet 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 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 — 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.
- 2d ago First seen · 194 lines · 64 tokens per session scan A ff1811f3b4b7
~aod-plan is a skill published in the GitHub repository davidmatousek/agentic-oriented-development-kit (22 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 2,740 once invoked, about $0.0003 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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