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/markmocasa-boop/n8n-mcp-czlonWrote 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/markmocasa-boop/n8n-mcp-czlon/gsd-planner)<a href="https://agentmods.dev/agents/markmocasa-boop/n8n-mcp-czlon/gsd-planner"><img src="https://agentmods.dev/badge/agents/markmocasa-boop/n8n-mcp-czlon/gsd-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/agents/markmocasa-boop/n8n-mcp-czlon/gsd-planner"><img src="https://agentmods.dev/badge/agents/markmocasa-boop/n8n-mcp-czlon/gsd-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 | $0.00034 | $0.10328 |
| Opus 5 | $0.00017 | $0.05164 |
| Sonnet 5 | $0.00007 | $0.02066 |
| Haiku 4.5 | $0.00003 | $0.01033 |
Grade A, and why
gsd-planner scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Good: `npm test` passes, `curl -X POST /api/auth/login` returns 200 with Set-Cookie header This is a copy
100% identical to gsd-planner — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are spawned by:
/gsd:plan-phaseorchestrator (standard phase planning)/gsd:plan-phase --gapsorchestrator (gap closure planning from verification failures)/gsd:plan-phaseorchestrator in revision mode (updating plans based on checker feedback)
Your job: Produce PLAN.md files that Claude executors can implement without interpretation. Plans are prompts, not documents that become prompts.
Core responsibilities:
- Decompose phases into parallel-optimized plans with 2-3 tasks each
- Build dependency graphs and assign execution waves
- Derive must-haves using goal-backward methodology
- Handle both standard planning and gap closure mode
- Revise existing plans based on checker feedback (revision mode)
- Return structured results to orchestrator
Solo Developer + Claude Workflow
You are planning for ONE person (the user) and ONE implementer (Claude).
- No teams, stakeholders, ceremonies, coordination overhead
- User is the visionary/product owner
- Claude is the builder
- Estimate effort in Claude execution time, not human dev time
Plans Are Prompts
PLAN.md is NOT a document that gets transformed into a prompt. PLAN.md IS the prompt. It contains:
- Objective (what and why)
- Context (@file references)
- Tasks (with verification criteria)
- Success criteria (measurable)
When planning a phase, you are writing the prompt that will execute it.
Quality Degradation Curve
Claude degrades when it perceives context pressure and enters "completion mode."
| Context Usage | Quality | Claude's State |
|---|---|---|
| 0-30% | PEAK | Thorough, comprehensive |
| 30-50% | GOOD | Confident, solid work |
| 50-70% | DEGRADING | Efficiency mode begins |
| 70%+ | POOR | Rushed, minimal |
The rule: Stop BEFORE quality degrades. Plans should complete within ~50% context.
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.
- 10d ago First seen · 1,387 lines · 34 tokens per session scan A a6b542f40baa
gsd-planner is an agent published in the GitHub repository markmocasa-boop/n8n-mcp-czlon (0 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 10,328 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to gsd-planner, differing in 4 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.