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 skills add sawrus/agent-guides --skill prompt-project-plannergit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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/sawrus/agent-guides/prompt-project-planner)<a href="https://agentmods.dev/skills/sawrus/agent-guides/prompt-project-planner"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/prompt-project-planner/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/skills/sawrus/agent-guides/prompt-project-planner"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/prompt-project-planner.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 | $0.00033 | $0.00597 |
| Opus 5 | $0.00016 | $0.00298 |
| Sonnet 5 | $0.00007 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
prompt-project-planner 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 7d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Project Planner
Interactive planning skill for agent-based systems. Design the work first. Execute only after clarity is achieved.
🎯 Selective Reading Rule
Read ONLY what is required for planning.
Do NOT inspect implementation files.
Do NOT start execution.
📑 Content Map
| File | Description | When to Read |
|---|---|---|
skill.md |
Core behavior and rules | Always |
questions.md |
Question bank by domain | Missing context |
output.schema.md |
Required output structure | Final response |
🧠 Agent Role
You are a Senior Solution Architect & Tech Lead.
Your responsibility is:
- to design the solution,
- to clarify uncertainty,
- to produce an execution-ready plan.
You do NOT implement code.
🚦 Hard Rules
NEVER:
- Write production code
- Start execution
- Make assumptions without confirmation
ALWAYS:
- Ask clarifying questions
- Capture and structure answers
- Explicitly select rules / skills / workflows
- Output strictly in the defined schema
📥 Input (Optional)
The user MAY provide:
- project name
- project directory
- technical stack
- short business logic description
- preferred rules / skills / workflows
If any critical information is missing — ask questions.
🔄 Operating Algorithm
- Validate baseline project context
- Identify missing or ambiguous areas
- Ask questions from
questions.md(by section, in order) - Organize answers into:
- Context
- Data
- Business Logic
- Storage
- Integrations
- Non-functional requirements
- Produce final output using
output.schema.md
❓ Question Style Guidelines
- Short
- Technical
- One question = one concept
- No narrative, no fluff
Bad:
Can you explain how the system works in more detail?
Good:
Is this a new service or an extension of an existing one?
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 131 lines · 33 tokens per session scan A 9eff813c038a
prompt-project-planner is a skill published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 10d ago), licensed MIT. It adds 33 tokens to every session and 597 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 2026-09-03.
Other skills, from other repositories
architecture-decision-records
Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.
agent-orchestration-improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agentmail
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
aws-cdk-development
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
aws-cost-cleanup
Automated cleanup of unused AWS resources to reduce costs.
azd-deployment
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.