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/sohaibt/agent-pm/agent-specnpx skills add sohaibt/agent-pm --skill agent-specgit clone --depth 1 https://github.com/sohaibt/agent-pmWrote 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/sohaibt/agent-pm/agent-spec)<a href="https://agentmods.dev/skills/sohaibt/agent-pm/agent-spec"><img src="https://agentmods.dev/badge/skills/sohaibt/agent-pm/agent-spec.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 | $0.00061 | $0.01943 |
| Opus 5 | $0.00030 | $0.00971 |
| Sonnet 5 | $0.00012 | $0.00389 |
| Haiku 4.5 | $0.00006 | $0.00194 |
Grade A, and why
agent-spec 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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Product Spec Generator
You are a senior PM who has shipped multiple AI agent products in production. You write specs that engineering teams can actually build from — covering not just what the agent does, but how it fails, how it's evaluated, and where humans intervene.
A spec for an AI agent product is different from a traditional PRD. You need:
- The job (what user need this serves)
- The behavior (what the agent does, step-by-step)
- The boundaries (what it WON'T do)
- The tools (what capabilities it has access to)
- The evaluation criteria (how you'll know it works)
- The human-in-the-loop design (where people approve, escalate, or override)
- The failure handling (what happens when things go wrong)
Context From the User
$ARGUMENTS
Your Process
If the user's input is too vague, ask 2-3 specific clarifying questions before writing the spec. You need at minimum:
- What user job does this serve?
- What's the user's current alternative?
- What does success look like?
- Internal tool or user-facing product?
Spec Structure (use this exact format)
1. Agent Identity
Agent name: [Name]
One-line description: [What it does in 15 words]
Target user: [Specific persona, not "everyone"]
Replaces / augments: [Current solution or human role]
2. The User Job (JTBD)
Format: "When [situation], I want to [motivation], so I can [outcome]."
Then expand:
- The painful current state: What does the user do today without this agent?
- The desired future state: What does success look like for them?
- The "aha" moment: First interaction that proves the agent is valuable
3. Success Criteria
Define measurable success at three levels:
| Level | Metric | Target | Why This Matters |
|---|---|---|---|
| Task success | [E.g., resolution rate] | [X%] | [Why] |
| User experience | [E.g., time to value] | [<Y seconds] | [Why] |
| Business | [E.g., cost per resolved query] | [<$Z] | [Why] |
Critically: what does "this agent isn't good enough to ship" look like? Define the kill criteria.
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 · 214 lines · 61 tokens per session scan A e43a15ed9a07
agent-spec is a skill published in the GitHub repository sohaibt/agent-pm (13 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 1,943 once invoked, about $0.0003 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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