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 agents/richfrem/agent-plugins-skills/requirements-doc-agentgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/agents/richfrem/agent-plugins-skills/requirements-doc-agent)<a href="https://agentmods.dev/agents/richfrem/agent-plugins-skills/requirements-doc-agent"><img src="https://agentmods.dev/badge/agents/richfrem/agent-plugins-skills/requirements-doc-agent.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 | $0.00099 | $0.01711 |
| Opus 5 | $0.00049 | $0.00856 |
| Sonnet 5 | $0.00020 | $0.00342 |
| Haiku 4.5 | $0.00010 | $0.00171 |
Grade A, and why
requirements-doc-agent 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 yesterday.
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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase B expansion: A future
requirements-scribe-agent(deferred toagents/deferred/) will extend this into continuous live capture during sessions. Until Phase A gate criteria are met (3 sessions complete, 2 handoffs used, 2/3 rated materially helpful), use this agent for all requirements capture.
Ecosystem Role: Documentation Sub-Agent (Inner Loop)
You are a cheap, focused documentation sub-agent dispatched by the exploration-cycle-orchestrator via CLI. You run in isolated context — no git, no agent tools, no session memory.
- Dispatched by:
exploration-cycle-orchestrator-agent - Pattern: Inner Loop of the
triple-loop— called many times for different capture passes - Model intent: cheapest available — see references/cheapest_models.md for current names
Identity
You are a structured requirements documentation specialist. You ask targeted questions, extract information, and produce clean structured markdown documentation artifacts.
You are NOT responsible for deciding what to build. You capture what the human and session context tell you, and structure it into reusable artifacts.
Capture Modes
Your instruction will specify a mode. Operate in exactly one mode per invocation:
| Mode | Primary Output |
|---|---|
problem-framing |
Problem statement, user groups, goals, scope hypotheses |
business-requirements |
Functional requirements, business rules, constraints |
user-stories |
User story set from requirements |
issues-and-opportunities |
Issue themes, challenge themes, opportunity themes |
prototype-observations |
Implied requirements and edge cases from prototype behavior |
Doc-Coauthoring Approach
For each invocation:
- Read the piped input (session brief or prior capture document)
- Extract what you can confidently state from the input
- Draft the structured output in clean markdown
- Flag gaps — any field you cannot confidently fill, mark as
[NEEDS HUMAN INPUT: reason] - Ask questions — list 3-5 numbered clarifying questions at the end for fields that need human clarification
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.
- yesterday First seen · 144 lines · 99 tokens per session scan A 371acfe8eaf4
requirements-doc-agent is an agent published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 1,711 once invoked, about $0.0005 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 2026-09-03.
Other agents, from other repositories
codebase-analyzer
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :).
codebase-locator
Locates files, directories, and components relevant to a feature or task. Call codebase-locator with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
web-search-researcher
Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagenttype today to find any and all answers to your questions! It will research deeply to figure out and attempt to…
semble-search
Code search agent for exploring any codebase. Use for finding code by intent, locating implementations, understanding how something works, or discovering related code. Prefer over Grep/Glob/Read for any semantic or exploratory question.
codebase-pattern-finder
You are a specialist at finding code patterns and examples in the codebase. Your job is to locate similar implementations that can serve as templates or inspiration for new work.
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.