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/adrielp/ai-engineering-harness/init_harnessnpx skills add adrielp/ai-engineering-harness --skill init_harnessgit clone --depth 1 https://github.com/adrielp/ai-engineering-harnessWrote 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/skills/adrielp/ai-engineering-harness/init_harness)<a href="https://agentmods.dev/skills/adrielp/ai-engineering-harness/init_harness"><img src="https://agentmods.dev/badge/skills/adrielp/ai-engineering-harness/init_harness.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 5.1 | $0.00023 | $0.00579 |
| Opus 5 | $0.00012 | $0.00290 |
| Sonnet 5 | $0.00005 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
init_harness 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 6d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize Harness
Initialize the AI Engineering Harness in this repository.
What This Command Does
- Runs the built-in
/initcommand to generateCLAUDE.md - Creates the
thoughts/directory structure for context engineering - Adds a ticket template for consistent ticket creation
- Provides guidance on next steps
Instructions
Follow these steps to initialize the harness:
-
Check the current state of the repository
- Verify if
CLAUDE.mdalready exists - Check if thoughts/ directory exists
- Check if
AGENTS.mdalready exists
- Verify if
-
Run /init to generate CLAUDE.md (Claude Code's built-in command)
- This analyzes the codebase and generates project memory
-
Update
CLAUDE.mdwith reference toAGENTS.mdifAGENTS.mdexists- This ensures Claudes default memory file includes reference to AGENTS.md if it exists.
-
Create the thoughts/ directory structure:
mkdir -p thoughts/shared/{tickets,plans,research} mkdir -p thoughts/global -
Add the ticket template to
thoughts/global/ticket-template.md -
Optionally create a personal thoughts directory:
- Check if personal directory exists
- Check if all directories within personal exist (tickets, plans, research)
mkdir -p thoughts/$(whoami)/{tickets,plans,research} -
Present next steps to the user
Important: The /init command is Claude Code's built-in command that
analyzes the codebase and generates CLAUDE.md (Claude Code's project memory
file). This /init_harness skill wraps that functionality and adds the context
engineering setup.
Note: Claude Code uses CLAUDE.md for project memory.
Quick Reference
After running this command, the repository will have:
CLAUDE.md # Codebase context (from /init)
thoughts/
├── shared/
│ ├── tickets/ # Feature requests, bugs, tasks
│ │ └── ticket-template.md # Template for new tickets
│ ├── plans/ # Implementation plans
│ └── research/ # Research documents
└── global/ # Cross-repository concerns
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.
- 6d ago First seen · 78 lines · 23 tokens per session scan A e759cf2c429e
init_harness is a skill published in the GitHub repository adrielp/ai-engineering-harness (20 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 579 once invoked, about $0.0001 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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