Borrowing it
Nothing to install: this file belongs to dzhng/duet-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dzhng/duet-agent/main/.agents/skills/claude/SKILL.mdgit clone --depth 1 https://github.com/dzhng/duet-agentWrote 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/dzhng/duet-agent/claude)<a href="https://agentmods.dev/skills/dzhng/duet-agent/claude"><img src="https://agentmods.dev/badge/skills/dzhng/duet-agent/claude.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 | $0.00067 | $0.01247 |
| Opus 5 | $0.00034 | $0.00624 |
| Sonnet 5 | $0.00013 | $0.00249 |
| Haiku 4.5 | $0.00007 | $0.00125 |
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 7d 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.
This is a copy
100% identical to claude — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude
Claude Code is an independent agent on PATH (claude), sharing this working
tree and already authenticated. Use it as a second opinion or delegated worker,
not as ground truth: verify its claims, own any changes, and keep its task
contract narrow.
Defaults
Use claude -p --model opus --effort high unless the user or task calls for a
different model or thinking level.
- Model: accept aliases such as
opus,sonnet, orfable, or a full model name. Defaultopus. - Thinking level: pass Claude Code's
--effortflag. Valid levels arelow,medium,high,xhigh, andmax. Defaulthigh. - Cost guard: for exploratory asks, add
--max-budget-usd <amount>when the user gives a budget or the task is likely to sprawl.
Example:
claude -p --model opus --effort high "<prompt>"
Prompting Claude
Prompt Claude like an operator: compact, block-structured, and explicit about the artifact you need. A sharper contract beats higher effort.
- One task per run. Split review, implementation, and docs into separate prompts.
- Name repo skills when relevant. Claude can read repo files; say "follow write-docs for the doc" or "obey refactor-clean: no compatibility wrappers" instead of pasting those skills into the prompt.
- Blocks, added only where useful:
<task>— the concrete job, context, and expected end state.<output_contract>— exact response shape, highest-value first.<default_follow_through>— take low-risk interpretations and continue; stop only when a missing detail changes correctness, safety, or an irreversible action.<verification_loop>— inspect the result against requirements and revise before finalizing.<grounding>— ground every claim in code or tool output; label inferences.<action_safety>— keep the diff tightly scoped; no drive-by refactors.
- Anti-patterns: vague prompts, mixed jobs, no output contract, asking it to "think harder" instead of tightening the task, and accepting its answer without checking the evidence.
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.
- 7d ago First seen · 115 lines · 67 tokens per session scan A 6952442b0d3e
claude is a skill published in the GitHub repository dzhng/duet-agent (42 stars, last pushed 4d ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,247 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to claude, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
harness-creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…
evaluator-write-qa
Internal Auto-Harness evaluator skill for sprint QA and QA report writing. Use only inside the Evaluator subagent during qa mode.
evaluator-review-contract-parallel
Internal Auto-Harness evaluator skill for parallel sprint contract review before implementation. Use only inside the Evaluator subagent during review mode.
evaluator-write-final-parallel
Internal Auto-Harness evaluator skill for parallel final QA report aggregation. Use only inside the Evaluator subagent during evaluatorfinalparallel.
evaluator-write-qa-parallel
Internal Auto-Harness evaluator skill for parallel sprint QA and QA report writing. Use only inside the Evaluator subagent during evaluatorqaparallel.
evaluator-write-retest-parallel
Internal Auto-Harness evaluator skill for parallel sprint retest and retest report writing. Use only inside the Evaluator subagent during evaluatorretestparallel.