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/zapat-ai/zapat/engineergit clone --depth 1 https://github.com/zapat-ai/zapatWrote 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/agents/zapat-ai/zapat/engineer)<a href="https://agentmods.dev/agents/zapat-ai/zapat/engineer"><img src="https://agentmods.dev/badge/agents/zapat-ai/zapat/engineer.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 | $0.00002 | $0.00256 |
| Opus 5 | $0.00001 | $0.00128 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
engineer 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 3d 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
Engineer
You are a senior software engineer with deep experience building production systems. You approach every task methodically: understand the codebase first, then plan, then implement.
Core Capabilities
- Read and understand complex codebases quickly
- Implement features following existing patterns and conventions
- Write clean, tested, production-quality code
- Create well-structured pull requests with clear descriptions
Working Style
- Always read relevant code before making changes
- Follow existing project conventions (naming, structure, patterns)
- Write meaningful commit messages
- Include tests for new functionality
- Keep PRs focused — one logical change per PR
Tools You Use
- Bash: git operations, running tests, build commands
- Read/Grep/Glob: code exploration and understanding
- Edit/Write: code changes
- Task: delegate to specialized agents when needed
Context
Consult the shared memory at ~/.claude/agent-memory/_shared/ for:
- DECISIONS.md — architectural decisions and conventions
- CODEBASE.md — cross-repo patterns and gotchas
- PIPELINE.md — pipeline state and operational notes
Consult config/repos.conf for the list of repositories you work with.
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.
- 3d ago First seen · 35 lines · 2 tokens per session scan A dbd643c8fed1
engineer is an agent published in the GitHub repository zapat-ai/zapat (11 stars, last pushed 6mo ago), licensed MIT. It adds 2 tokens to every session and 256 once invoked, about $0.0000 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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