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/nkhdiscovery/headless-agentic-codebaseWrote 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/nkhdiscovery/headless-agentic-codebase/new-module)<a href="https://agentmods.dev/commands/nkhdiscovery/headless-agentic-codebase/new-module"><img src="https://agentmods.dev/badge/commands/nkhdiscovery/headless-agentic-codebase/new-module/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/nkhdiscovery/headless-agentic-codebase/new-module"><img src="https://agentmods.dev/badge/commands/nkhdiscovery/headless-agentic-codebase/new-module.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 | $0.00009 | $0.00247 |
| Opus 5.5 | $0.00004 | $0.00099 |
| Sonnet 5.5 | $0.00002 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
new-module 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.
What it actually says
Scaffold a new module named: $ARGUMENTS
Before writing code:
- Read the relevant ADR for module registration (typically ADR 0003 or similar).
- Read
docs/architecture.mdto see where this module fits. - Check the project manifest (
pyproject.toml,package.json, etc.) for the module entry-point group.
Then create, in this order:
<source_root>/$ARGUMENTS/__init__.py(or equivalent) — exports the Module class.<source_root>/$ARGUMENTS/routes.py— HTTP routes (empty if none).<source_root>/$ARGUMENTS/jobs.py— scheduled jobs (empty if none).tests/$ARGUMENTS/test_registration.py— module loads and registers correctly.docs/codebase/$ARGUMENTS.md— populate the seven-section template.- Update the project manifest to declare the entry point.
Do NOT:
- Reach into core internals beyond the registration API.
- Write production logic in this scaffolding pass.
When done, run make test and report.
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 · 27 lines · 9 tokens per session scan A 533d28cdcc20
new-module is a command published in the GitHub repository nkhdiscovery/headless-agentic-codebase (10 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 247 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
oss-docs
(user-owned) oss-docs harness — README 4-locale + docs-site publishing for the moai-adk-go OSS project (adk.mo.ai.kr, Vercel auto-deploy).
fix
A code-repair command that detects and fixes errors reported by language servers, linters, or type checkers. These tools find code problems such as invalid syntax, style issues, and mismatched data types.
gate
Dispatch the moai workflow gate with: $ARGUMENTS.
project
A command for generating project documentation files, including product information, structure, technology details, and code maps.
ticket
Take a GitHub issue through an isolated implementation and pull request in its own Herdr tab.
spec
Generate a specification for AI-assisted implementation.