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/45ck/skill-harness/agent-task-shapingnpx skills add 45ck/skill-harness --skill agent-task-shapinggit clone --depth 1 https://github.com/45ck/skill-harnessWrote 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/45ck/skill-harness/agent-task-shaping)<a href="https://agentmods.dev/skills/45ck/skill-harness/agent-task-shaping"><img src="https://agentmods.dev/badge/skills/45ck/skill-harness/agent-task-shaping.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 | $0.00032 | $0.00258 |
| Opus 5 | $0.00016 | $0.00129 |
| Sonnet 5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
agent-task-shaping 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
Agent Task Shaping
Use this skill before launching an agentic implementation, research, review, or long-running workflow from a vague request.
Process
- State the user-visible outcome in one sentence.
- Name the smallest reversible slice that can produce evidence.
- Separate required context from optional background.
- Choose the agent loadout or role that can own the slice end to end.
- Identify allowed tools, blocked tools, and any permission expansion that needs approval.
- Define the autonomy level: act directly, ask before mutation, ask before external side effects, or propose only.
- Define verification evidence before work starts.
Output
Task
Scope
Context Needed
Agent / Loadout
Tool Boundaries
Autonomy Level
Verification Evidence
Follow-Up Capture
Avoid
- turning broad strategy into unbounded execution
- starting from tool availability instead of task outcome
- asking a human for decisions the agent can resolve from repository evidence
- adopting learnings without a traceable issue, test, policy check, or run receipt
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 · 37 lines · 32 tokens per session scan A 0330006346bb
agent-task-shaping is a skill published in the GitHub repository 45ck/skill-harness (15 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 258 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.
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