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 easyinplay/harnessed --skill clarifygit clone --depth 1 https://github.com/easyinplay/harnessedWrote 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/easyinplay/harnessed/clarify)<a href="https://agentmods.dev/skills/easyinplay/harnessed/clarify"><img src="https://agentmods.dev/badge/skills/easyinplay/harnessed/clarify/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/easyinplay/harnessed/clarify"><img src="https://agentmods.dev/badge/skills/easyinplay/harnessed/clarify.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 | $0.00180 | $0.01273 |
| Opus 5.5 | $0.00072 | $0.00509 |
| Sonnet 5.5 | $0.00036 | $0.00255 |
| Haiku 4.5 | $0.00018 | $0.00127 |
Grade A, and why
task-clarify 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 25d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
task-clarify workflow (v3)
Overview
Single-phase sub-workflow mapping the user's CLAUDE.md Stage ③.a 子任务澄清 discipline
onto the harnessed runtime, fully harnessed.workflow.v3 schema (Phase v3.0-3.4 W0
T3.4.W0.6 — D-09 L0 Discipline Substrate + D-05 conditional invokes_tools + D-04
gate ref).
| phase | id | upstream | model | capability / invokes_tools | gate |
|---|---|---|---|---|---|
| 1 | 01-brainstorm |
superpowers | sonnet | {{ capabilities.superpowers-brainstorming.cmd }} + invokes_tools: [{if: phase.spec_ambiguous, tool: grill-with-docs}] |
judgments.subtask-gate.brainstorming.fires |
Per-phase config loads from workflows/task/clarify/workflow.yaml; engine.runRouting
spawns each phase as a sub-agent via @anthropic-ai/claude-agent-sdk 0.3.142+.
Per-subtask repeat invoke pattern
task-clarify is NOT a one-shot 阶段 — execute-task master orchestrator delegates to task-clarify 每个 subtask 入口走一次 evaluate gate (subtask-gate.brainstorming .fires) 是否激活。Skip path — small OR routine AND no design decision (approaches < 2, no core algorithm, no API contract, error_cost not 'high') — bypasses brainstorming per CLAUDE.md "拿不准 → 倾向跳过"。Phase 58: size alone no longer vetoes; "< 20 行" is a modifier on "单一明显实现", not the criterion.
Discipline Substrate (L0 always-on)
6 disciplines (karpathy + output-style + language + operational + priority + protocols)
apply cross-cutting per D-09 L0 Discipline Substrate — workflow runtime pre-phase hook
loads discipline yaml + applies rules. Sentinel category behavioral SKIP cmd invoke;
runtime engine routes via discipline_ref ref to workflows/disciplines/<basename>.yaml.
Conditional grill-with-docs fire (D-05 invokes_tools)
Phase 01-brainstorm 条件性 fire grill-with-docs when phase.spec_ambiguous == true —
sister CLAUDE.md "Discuss / Research 阶段" mattpocock 招式按需召唤 pattern; NOT 强制
unconditional fire (D-05 invokes_tools 与 OnClause 并存, 但作用面不同 — invokes_tools
phase-level conditional tool fire NOT 决定 phase 是否走)。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 25d ago Changed 1d2238e8e184
- 1mo ago Changed · +2 lines 2c3e07a5a033
- 1mo ago First seen · 85 lines · 180 tokens per session scan A 89fa487dab53
task-clarify is a skill published in the GitHub repository easyinplay/harnessed (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 180 tokens to every session and 1,273 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.
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