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 agents/technickai/ai-coding-config/claudegit clone --depth 1 https://github.com/TechNickAI/ai-coding-configWhat 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 | $0.00739 |
| Opus 5 | $0.00000 | $0.00369 |
| Sonnet 5 | $0.00000 | $0.00148 |
| Haiku 4.5 | $0.00000 | $0.00074 |
Grade A, and why
CLAUDE 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Claude Code Agents
When creating custom agent files in .claude/agents/, the YAML frontmatter format
matters.
Valid Frontmatter Format
---
name: agent-name
# prettier-ignore
description: "Use when reviewing for X, checking Y, or verifying Z - include all semantic triggers"
model: opus
---
Critical constraints:
- Single line only - Claude Code doesn't parse block scalars (
>or|) correctly - Use
# prettier-ignore- Add before description to allow longer, richer triggers - Use quotes - Always quote descriptions to handle special characters like colons
Description Philosophy
Agents are LLM-triggered. Descriptions should match against user requests to enable Claude Code to auto-select the right agent. Use "Use when..." format with rich semantic triggers.
Do: Match user language
Think about what users will say:
- "review the code"
- "check if this is production ready"
- "debug this error"
- "test in the browser"
Include those exact phrases in your descriptions.
Do: Include variations
# prettier-ignore
description: "Use when reviewing for production readiness, fragile code, error handling, resilience, reliability, or catching bugs before deployment"
This triggers on: "review for production", "check fragile code", "error handling review", "catch bugs", etc.
Don't: Describe what it does
Bad: "A code reviewer that analyzes production readiness and error handling patterns"
This is technical documentation, not a semantic trigger.
Example Agent
---
name: test-runner
# prettier-ignore
description: "Use when running tests, checking test results, or verifying tests pass before committing"
model: haiku
---
I run tests using the specified test runner (bun, pnpm, pytest, etc) and return a terse
summary with pass count and failure details only. This preserves your context by
filtering verbose test output to just what's needed for fixes.
[Rest of agent prompt...]
Reviewer Agent Structure
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 · 123 lines · 0 tokens per session scan A 27fc302808e6
CLAUDE is an agent published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 739 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.