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 commands/davidmatousek/tachi/readmegit 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/commands/davidmatousek/tachi/readme)<a href="https://agentmods.dev/commands/davidmatousek/tachi/readme"><img src="https://agentmods.dev/badge/commands/davidmatousek/tachi/readme.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 | $0.00000 | $0.00413 |
| Opus 5 | $0.00000 | $0.00206 |
| Sonnet 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 4d 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.
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.
- 4d ago First seen · 40 lines · 0 tokens per session scan A 13c355ecd2fe
README is a command published in the GitHub repository davidmatousek/tachi (90 stars, last pushed 21d ago), licensed Apache-2.0. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
fortigate
Run cs-security-analyst (AT + CA workflows) against the Fintech FortiGate zero-day scenario and produce a 7-task scorecard.
README
Claude Code slash commands for the Unified Security Agent Platform (USAP). These commands let you load any USAP skill as a live LLM persona and run structured compliance tests — all inside a Claude Code session.
challenge
Run cs-security-analyst (AT workflow) against the Perfect Storm 8-vector crisis scenario and produce a 12-check mock comparison scorecard.
compare
Before/after comparison of zero-day-response SKILL.md v1 (broken) vs v2 (fixed) against the FortiGate zero-day scenario. Outputs a scored table.
test
Run a USAP skill against the FortiGate zero-day test scenario and produce a 6-problem compliance scorecard.
run
Load a USAP skill SKILL.md and activate it as your operating persona. Argument: skill slug.