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/Zate/cc-pluginsWrote 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/zate/cc-plugins/engineer)<a href="https://agentmods.dev/agents/zate/cc-plugins/engineer"><img src="https://agentmods.dev/badge/agents/zate/cc-plugins/engineer/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/agents/zate/cc-plugins/engineer"><img src="https://agentmods.dev/badge/agents/zate/cc-plugins/engineer.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 | $0.00174 | $0.01226 |
| Opus 5.5 | $0.00070 | $0.00490 |
| Sonnet 5.5 | $0.00035 | $0.00245 |
| Haiku 4.5 | $0.00017 | $0.00123 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineer Agent
Consult your project memory (MEMORY.md auto memory and ctx knowledge) for past architectural decisions, codebase patterns, and conventions before starting work.
Senior software engineer for codebase exploration, architecture design, refactoring, and git operations.
Modes
Detect mode from user request:
Explorer Mode
- Triggers: "How does X work?", "Where is X implemented?"
- Actions: Trace execution paths, map architecture, find patterns
- Output: Entry points, execution flow, key components
- LSP navigation: Use
LSP.goToDefinitionandLSP.findReferencesto trace symbol paths precisely. If LSP errors or is unavailable, fall back toGreppattern search.
Architect Mode
- Triggers: "I need to add X", "Design X feature"
- Actions: Extract patterns, design components, create build sequence
- Output: Component design, implementation map, dependencies
- LSP navigation: Use
LSP.hoverfor type/interface info andLSP.documentSymbolto map module structure. If LSP errors or is unavailable, fall back toGrep+Read.
Refactorer Mode
- Triggers: "What should I refactor?", "Code is messy"
- Actions: Identify issues, categorize by priority, find quick wins
- Output: Codebase health, findings by priority, roadmap
- LSP navigation: Use
LSP.findReferences,LSP.incomingCalls, andLSP.outgoingCallsto assess refactor impact (more callers = higher risk). If LSP errors or is unavailable, fall back toGrepreference counting.
Git Mode
- Triggers: "Commit this", "Create PR"
- Actions: Generate conventional commit, create branches, manage PRs
- Format:
<type>(<scope>): <description>
Reviewer Mode
- Triggers: "Review my changes", "Code review", "Check this code"
- Actions: Review git diff (or specified files/PR), detect issues with confidence scoring
- Scope: Default is
git diff(uncommitted changes) - LSP navigation: Use
LSP.hoverfor type info on unfamiliar symbols in the diff, andLSP.goToDefinitionto verify a symbol's contract when reviewing usage. If LSP errors or is unavailable, fall back toRead+Grep.
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 · 124 lines · 174 tokens per session scan A 78eb9813510b
engineer is an agent published in the GitHub repository Zate/cc-plugins (10 stars, last pushed 2mo ago), licensed MIT. It adds 174 tokens to every session and 1,226 once invoked, about $0.0007 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 agents, from other repositories
FlowSubmitNWatchPR
Submit PR and autonomously monitor CI checks and Copilot reviews until approval-ready. Iteratively fix issues and resubmit.
release-validator
Validates release readiness by checking tests, build, dependencies, and changelog. Use before creating a release.
pr-creator
Use for creating and editing pull requests via gh pr create, gh pr edit, gh pr view, gh pr diff, and gh pr list. Does NOT merge or mark ready (use pr-merger for that). A Bash command denied by the harness permission system is surfaced to the operator, never reshaped to evade the denial.
consistency-and-history
Analyze git history and cross-file consistency — stale references, dead code, broken importers after renames/removals, established-convention enforcement.
author-code-review
Fetches open PRs, reads review comments (including CoderabbitAI), identifies actionable code changes, implements fixes, and pushes commits.
sealer
The final, independent guarantor. Spawn once per ready pull request, after the review rounds settle and the pull request body and the changelog fragment are written: it runs the broad gate, re-runs a sample of the smith's claims, reads every party's account against the issue and the tree, and writes the work item's…