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 skills add gigsmart/haiku-method --skill haiku-pickupgit 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-pickup)<a href="https://agentmods.dev/skills/gigsmart/haiku-method/haiku-pickup"><img src="https://agentmods.dev/badge/skills/gigsmart/haiku-method/haiku-pickup/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/skills/gigsmart/haiku-method/haiku-pickup"><img src="https://agentmods.dev/badge/skills/gigsmart/haiku-method/haiku-pickup.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 | $0.00024 | $0.00313 |
| Opus 5 | $0.00012 | $0.00156 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
haiku-pickup 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 9d 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
Resume an Intent
Process
-
Advance the lifecycle — Call
haiku_run_next { pickup: true }. Thepickup: trueflag tells the engine to fetch origin and materialize the active stage branch locally so the in-flight unit work is recoverable. The workflow engine also resolves the intent automatically:- If you're on a
haiku/<slug>/mainorhaiku/<slug>/<stage>branch → uses that slug. - If there's exactly one active intent on disk → uses it.
- If there are multiple and no branch match → the tool returns the list of slugs for you to disambiguate, then re-call with
haiku_run_next { intent: "<slug>", pickup: true }.
- If you're on a
-
Follow the instructions — The tool returns the next action and detailed instructions. Execute them.
Notes
- If no active intents exist, suggest starting a new one with
/haiku:haiku-start - The
haiku_run_nexttool handles all workflow engine logic AND intent resolution — no intent-list call needed in the common case. - The pickup hint at the top of the response names the active stage branch. Run
git switch <branch>only if you want to inspect in-flight unit work directly; the engine drives the workflow from intent main and doesn't need you on the stage branch.
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.
- 9d ago First seen · 22 lines · 24 tokens per session scan A e8496f1a4ac2
haiku-pickup is a skill published in the GitHub repository gigsmart/haiku-method (24 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 313 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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