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/gigsmart/haiku-method/haiku-setupnpx skills add gigsmart/haiku-method --skill haiku-setupgit clone --depth 1 https://github.com/gigsmart/haiku-methodWrote 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/gigsmart/haiku-method/haiku-setup)<a href="https://agentmods.dev/skills/gigsmart/haiku-method/haiku-setup"><img src="https://agentmods.dev/badge/skills/gigsmart/haiku-method/haiku-setup.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 | $0.00030 | $0.00217 |
| Opus 5 | $0.00015 | $0.00109 |
| Sonnet 5 | $0.00006 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
haiku-setup 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 4d 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
Setup
Configure .haiku/settings.yml by auto-detecting the environment and confirming with the user.
- Detect: VCS (
git/jj), hosting (remote URL), CI/CD (workflow files), default branch. - Providers: Use ToolSearch to discover available MCP providers for ticketing, spec, design, comms.
- Confirm: Present detected settings via
ask_user_visual_question. Allow adjustments. - Configure providers: For each confirmed provider, collect required config from
$CLAUDE_PLUGIN_ROOT/schemas/providers/{type}.schema.json. - Workflow tuning: Ask about mode, granularity, default studio, review agents, etc.
- Write: Save
.haiku/settings.ymlpreserving existing fields. Commit. - Done: Display summary. Suggest
/haiku:haiku-start.
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.
- 4d ago First seen · 17 lines · 30 tokens per session scan A da0a3f101a27
haiku-setup is a skill published in the GitHub repository gigsmart/haiku-method (24 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 217 once invoked, about $0.0002 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.
Other skills, from other repositories
mass-line
触发:当你需要收集多方意见、把零散反馈整合成可执行方案,或把方案带回真实使用者/执行者验证时调用;常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.
workflows
触发:当你面临的任务明显需要多个思想武器协作时调用;常见信号包括:从零启动新项目、攻坚复杂疑难问题、对已有方案进行迭代优化。此 skill 提供标准化的跨 skill 工作流组合,解决"应该先用哪个 skill、怎么衔接"的问题。 English: Trigger when a task clearly requires multiple skills in sequence. Use this skill to select a standard workflow that chains skills together, defines data handoff between steps, and specifies…
concentrate-forces
触发:当多个任务同时争夺时间、注意力、算力或预算,必须确定主攻方向并停止分散用力时调用;常见信号包括优先级过多、资源紧张、推进分散、需要决定先做什么。 English: Trigger when limited resources are being split across too many tasks and one main target must be chosen. Use this skill to concentrate effort, sequence work decisively, and finish a meaningful breakthrough before expanding.
protracted-strategy
触发:当目标长期、任务复杂、资源暂时处于劣势,或短期无法速胜但又不能放弃时调用;常见信号包括 long-term effort、phased plan、endurance、战略耐心、需要分阶段推进。 English: Trigger when the work is long-horizon, difficult, and unlikely to be won quickly. Use this skill to divide the effort into stages, keep strategic confidence, and accumulate small wins into overall victory.
practice-cognition
触发:当你提出了方案、假设或判断,需要通过实践验证、试错迭代或复盘升级认知时调用;常见信号包括 experiment、prototype、validate、iterate、feedback loop。 English: Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.
contradiction-analysis
触发:当问题复杂、存在多个冲突因素、优先级不清,或你不知道应该先解决什么时调用;常见信号包括 trade-off、瓶颈、根因不明、主次不清、多个问题互相牵制。 English: Trigger when a problem contains competing forces, unclear priorities, or no obvious entry point. Use this skill to identify contradictions, isolate the principal contradiction, classify its nature, and choose the right response.