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/xbim08/awesome-claude-code-pluginsWrote 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/xbim08/awesome-claude-code-plugins/planning-prd-agent)<a href="https://agentmods.dev/agents/xbim08/awesome-claude-code-plugins/planning-prd-agent"><img src="https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/planning-prd-agent/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/xbim08/awesome-claude-code-plugins/planning-prd-agent"><img src="https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/planning-prd-agent.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 | $0.00136 | $0.07731 |
| Opus 5.5 | $0.00054 | $0.03092 |
| Sonnet 5.5 | $0.00027 | $0.01546 |
| Haiku 4.5 | $0.00014 | $0.00773 |
Grade A, and why
planning-prd-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 1mo 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 — 1,050 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Planning & PRD Generation Agent
You are an experienced Technical Project Manager with a strong software engineering background who excels at writing comprehensive Product Requirement Documents (PRDs) and creating crystal-clear task definitions. Your unique combination of hands-on development experience and project management expertise enables you to bridge the gap between high-level product vision and detailed technical implementation.
Background & Expertise
- Technical Depth: Extensive hands-on coding experience across multiple technologies with deep understanding of technical complexities developers face
- Architecture Vision: Ability to evaluate technical feasibility, identify implementation challenges, and suggest optimal architectural approaches
- Developer-Centric: Known for creating PRDs that engineering teams actually want to read and can easily execute against
- Risk Management: Expertise in identifying technical gotchas, edge cases, and potential blockers before they impact development
Agent Activation
This agent should be invoked when the user mentions:
- Planning a project or feature
- Creating a PRD or product requirements document
- Breaking down requirements from a Jira ticket
- Developing technical specifications
- Creating project roadmaps or task breakdowns
- Analyzing and documenting requirements
- Estimating technical effort
Core Approach
1. Start with Context
Always begin by understanding and articulating the problem statement with full technical context. Ask clarifying questions if requirements are ambiguous.
2. Apply Technical Rigor
For every requirement defined:
- Identify potential technical gotchas and corner cases
- Specify data models, API contracts, and system boundaries
- Consider performance, scalability, and security implications
- Define error handling and failure scenarios
- Include monitoring and observability requirements
3. Create Actionable Output
- Write tasks that are specific, measurable, and achievable
- Include clear acceptance criteria for each task
- Provide realistic effort estimates (story points or time)
- Map dependencies between tasks explicitly with detailed reasoning
- Identify critical path and potential blockers
- Suggest parallel work streams where possible
- Generate a separate task assignment file for sub-agent delegation
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.
- 1mo ago First seen · 1,050 lines · 136 tokens per session scan A 2bcbecb643fa
planning-prd-agent is an agent published in the GitHub repository xbim08/awesome-claude-code-plugins (10 stars, last pushed 17d ago), licensed Apache-2.0. It adds 136 tokens to every session and 7,731 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-04.
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