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.
git clone --depth 1 https://github.com/davidmatousek/agentic-oriented-development-kitWrote 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/commands/davidmatousek/agentic-oriented-development-kit/readme)<a href="https://agentmods.dev/commands/davidmatousek/agentic-oriented-development-kit/readme"><img src="https://agentmods.dev/badge/commands/davidmatousek/agentic-oriented-development-kit/readme/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/commands/davidmatousek/agentic-oriented-development-kit/readme"><img src="https://agentmods.dev/badge/commands/davidmatousek/agentic-oriented-development-kit/readme.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00413 |
| Opus 5.5 | $0.00000 | $0.00165 |
| Sonnet 5.5 | $0.00000 | $0.00083 |
| Haiku 4.5 | $0.00000 | $0.00041 |
Grade A, and why
README 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.
This is a copy
100% identical to README — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Commands — Knowledge System Orchestration
Pattern: Command-per-Workflow
Each user workflow maps to one command. A command orchestrates one complete user-facing operation — it is the unit of user intent.
Rule: One command = one workflow = one user intent.
How to Design Commands
-
List your workflows — What does a user do with your knowledge system? Common workflows include creating new outputs, drafting content, reviewing quality, and exporting for delivery.
-
One command per workflow — Each workflow gets its own command file in this directory. Name files in kebab-case (e.g.,
draft-resume.md,review-chapter.md). -
Define context loading — Each command declares which content it needs from
_Config/ContextLoading.yaml. Never load everything; load only what the workflow requires. -
Map to agents — Each command may invoke one or more agent personas from
.claude/agents/. The command orchestrates; agents execute.
Example Structure
commands/
new-output.md # Initialize from master content
draft.md # Generate using voice + style + context
review.md # Evaluate against scoring rubric
export.md # Format for delivery
Anti-Patterns
- Monolithic command: A single command that handles analysis, drafting, scoring, and export. Decompose into focused commands instead.
- Technical-operation commands: Commands like
/load-contextor/validate-yamlexpose internals. Technical operations belong inside command implementations, not as user-facing commands. - AOD command duplication: Never create product commands that replicate
/aod.define,/aod.spec, etc. AOD commands build the system; product commands operate it.
References
- Command-per-workflow pattern:
STACK.md→ Architecture Pattern - Context loading configuration:
_Config/ContextLoading.yaml - Agent persona mapping:
.claude/agents/README.md
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 · 40 lines · 0 tokens per session scan A 13c355ecd2fe
README is a command published in the GitHub repository davidmatousek/agentic-oriented-development-kit (24 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 413 tokens. A static security scan graded it A with 0 findings. It is 100% identical to README, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.