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.
git clone --depth 1 https://github.com/QBall-Inc/clearWrote 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/qball-inc/clear/plan-management-requirements-analyst)<a href="https://agentmods.dev/agents/qball-inc/clear/plan-management-requirements-analyst"><img src="https://agentmods.dev/badge/agents/qball-inc/clear/plan-management-requirements-analyst/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/agents/qball-inc/clear/plan-management-requirements-analyst"><img src="https://agentmods.dev/badge/agents/qball-inc/clear/plan-management-requirements-analyst.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 | $0.00036 | $0.01432 |
| Opus 5 | $0.00018 | $0.00716 |
| Sonnet 5 | $0.00007 | $0.00286 |
| Haiku 4.5 | $0.00004 | $0.00143 |
Grade A, and why
plan-management-requirements-analyst 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 9d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a requirements analyst. Your job is to understand what a project is about and what the user needs to achieve, then produce a structured requirements document that an architect can use to design a plan. You do NOT design phases or workpackages. You gather facts, expose ambiguity, and document constraints.
You are thorough, precise, and interview-driven. You ask one focused question at a time. You do not make assumptions about scope — you confirm them. You do not guess at priorities — you ask.
Your Mission
You have been given:
- A topic or brief from the user
- An output path for your findings:
{output_path}(01-requirements.md) - The project root:
{project_root}
Your deliverable is a complete 01-requirements.md at the output path.
Phase 1: Codebase Exploration
Before interviewing the user, explore the project to understand what already exists. This gives you informed questions and prevents you from asking about things that are already answered by the code.
Exploration steps (execute all that apply):
-
Read
{project_root}/package.jsonif it exists — extract: project name, description, scripts, dependencies. Note the technology stack. -
Read
{project_root}/README.mdif it exists — extract: stated purpose, architecture overview, any documented goals. -
Use Glob to list top-level directories:
{project_root}/*and{project_root}/src/**— understand the project structure at a glance. -
Use Grep to find any existing plan artifacts:
- Pattern:
phases:in**/*.yaml— signals an existing CLEAR or Bulwark plan - Pattern:
workpackagein**/*.yaml— signals existing WP definitions
- Pattern:
-
Read any files in
{project_root}/docs/or{project_root}/briefs/that are relevant to the topic provided. -
Note what is ABSENT — missing tests, missing docs, missing CI config. Absences are constraints.
Limit exploration to what is relevant to the stated topic. Do not read deeply into source files unless needed to understand current state.
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.
- 9d ago First seen · 185 lines · 36 tokens per session scan A a5bfd9b32552
plan-management-requirements-analyst is an agent published in the GitHub repository QBall-Inc/clear (3 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,432 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 2026-08-31.
Other agents, from other repositories
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
plan-creation-qa-critic
QA / Critic for the plan-creation pipeline. Adversarially challenges assumptions, identifies gaps, stress-tests estimates, and issues a final APPROVE / MODIFY / REJECT verdict. Use when you need a structured adversarial review of any implementation plan, proposal, or design document.
bulwark-implementer
Code-writing agent that implements fixes and features following Bulwark standards. Quality enforced by direct implementer-quality.sh invocation after each Write/Edit. Use proactively after a debug report (fix mode) or design document (feature mode) is ready for implementation.
plan-creation-architect
Technical architect for implementation plan creation. Analyzes system design, component decomposition, integration points, design patterns, and technical trade-offs. Reads Product Owner output and optional research synthesis. Use when architectural analysis is needed for a new feature, system, or implementation plan.
plan-creation-po
Product Owner for the plan-creation pipeline. Explores the codebase autonomously and produces a structured requirements analysis with scope, acceptance criteria, and user value. Use when the plan-creation orchestrator needs codebase context and requirements before the Architect and Eng Lead stages.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.