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/rweisssieker-xp/GBL-CREO-WINDCHILL-MCPWrote 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/rules/rweisssieker-xp/gbl-creo-windchill-mcp/sprint-planning)<a href="https://agentmods.dev/rules/rweisssieker-xp/gbl-creo-windchill-mcp/sprint-planning"><img src="https://agentmods.dev/badge/rules/rweisssieker-xp/gbl-creo-windchill-mcp/sprint-planning/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/rules/rweisssieker-xp/gbl-creo-windchill-mcp/sprint-planning"><img src="https://agentmods.dev/badge/rules/rweisssieker-xp/gbl-creo-windchill-mcp/sprint-planning.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 | $0.00009 | $0.00507 |
| Opus 5 | $0.00005 | $0.00253 |
| Sonnet 5 | $0.00002 | $0.00101 |
| Haiku 4.5 | $0.00001 | $0.00051 |
Grade A, and why
sprint-planning 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 8d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: sprint-planning description: "Generate and manage the sprint status tracking file for Phase 4 implementation, extracting all epics and stories from epic files and tracking their status through the development lifecycle" author: "BMad"
Critical variables from config
config_source: "{project-root}/.bmad/bmm/config.yaml" output_folder: "{config_source}:output_folder" user_name: "{config_source}:user_name" communication_language: "{config_source}:communication_language" date: system-generated sprint_artifacts: "{config_source}:sprint_artifacts"
Workflow components
installed_path: "{project-root}/.bmad/bmm/workflows/4-implementation/sprint-planning" instructions: "{installed_path}/instructions.md" template: "{installed_path}/sprint-status-template.yaml" validation: "{installed_path}/checklist.md"
Variables and inputs
variables:
Project context
project_context: "**/project-context.md"
Project identification
project_name: "{config_source}:project_name"
Tracking system configuration
tracking_system: "file-system" # Options: file-system, Future will support other options from config of mcp such as jira, linear, trello story_location: "{config_source}:sprint_artifacts" # Relative path for file-system, Future will support URL for Jira/Linear/Trello story_location_absolute: "{config_source}:sprint_artifacts" # Absolute path for file operations
Source files (file-system only)
epics_location: "{output_folder}" # Directory containing epic*.md files epics_pattern: "epic*.md" # Pattern to find epic files
Output configuration
status_file: "{sprint_artifacts}/sprint-status.yaml"
Smart input file references - handles both whole docs and sharded docs
Priority: Whole document first, then sharded version
Strategy: FULL LOAD - sprint planning needs ALL epics to build complete status
input_file_patterns: epics: description: "All epics with user stories" whole: "{output_folder}/epic.md" sharded: "{output_folder}/epic/*.md" load_strategy: "FULL_LOAD"
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.
- 8d ago First seen · 58 lines · 507 tokens per session scan A 697bc3569901
sprint-planning is a cursor rule published in the GitHub repository rweisssieker-xp/GBL-CREO-WINDCHILL-MCP (4 stars, last pushed 9mo ago), licensed MIT. It adds 9 tokens to every session and 507 once invoked, about $0.0000 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 cursor rules, from other repositories
slice-tasks
PLANNING SPINE STEP 2 of 3 — Slice the work: break a scoped PRD into vertical-slice stories in specs/epics/. Use after scope-work (step 1), before plan-work (step 3). Not a substitute for scope-work or plan-work.
iris
GitHub operations specialist — branches, pull requests, issues, releases, tags. Called by zeus after review. Never pushes or merges without explicit human approval. Integrates with VS Code GitHub Pull Requests extension.
elite-orchestrator
Elite orchestrator for mission-critical, enterprise-scale tasks requiring strategic coordination of 7+ agents across all domains. Makes architectural decisions, manages risk, ensures business continuity, and delivers enterprise-grade outcomes. Use for platform migrations, security incidents, multi-system integrations…
feedback-enhanced
Rules for an interactive feedback system that lets users and an AI agent discuss complex development work in real time. It includes guidance for recording decisions, tracking progress and handling detailed inputs such as code and diagrams.
project-onboarding-rule
Automatically onboards existing projects into the AI-driven development workflow.
linear-in-review
After finishing a Linear issue, set its status to In Review (never Done).