agent-spec

agent-spec is a skill for Claude Code, Codex from sohaibt/agent-pm. It costs 61 tokens per session (1,943 once invoked), scanned A, original, MIT.

A product-requirements document generator for AI agent products. It describes the user need, agent behavior, tools, boundaries, human approval points, failure handling, and ways to test success.

In plain words
What is it for?
Use it after choosing an architecture to define the agent’s job, scope, autonomy, tools, model choice, checkpoints, stopping rules, and evaluation criteria.
Why use it?
It fills in decisions that ordinary product notes often leave unclear, such as when the agent should stop or ask a person for help. It gives product and engineering teams a shared definition to build and evaluate.

Skill for Claude CodeCodex

Part of the agent-pm plugin — 12 skills shipped together

Install

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.

agentmods
npx agentmods add skills/sohaibt/agent-pm/agent-spec
Any agent
npx skills add sohaibt/agent-pm --skill agent-spec
Clone the repo
git clone --depth 1 https://github.com/sohaibt/agent-pm

Made for: Claude Code, Codex.

Or install agent-pm, the plugin that ships this one along with the rest of its 12 skills.

Wrote 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.

agentmods badge for agent-spec

README.md
[![agentmods](https://agentmods.dev/badge/skills/sohaibt/agent-pm/agent-spec.svg)](https://agentmods.dev/skills/sohaibt/agent-pm/agent-spec)
Your own site
<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>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,943 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash e43a15ed9a07, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

skills/agent-spec/SKILL.md · 214 lines

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.

Read the full file on GitHub · 214 lines

Changes

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.

  1. 4d ago First seen · 214 lines · 61 tokens per session scan A e43a15ed9a07

Subscribe to this mod's changes

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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