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 agentmods add rules/conlinjoe/ai-platform/50-workflowsgit clone --depth 1 https://github.com/ConlinJoe/ai-platformWhat 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 | $0.00011 | $0.02918 |
| Opus 5 | $0.00005 | $0.01459 |
| Sonnet 5 | $0.00002 | $0.00584 |
| Haiku 4.5 | $0.00001 | $0.00292 |
Grade A, and why
50-workflows scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Project Workflow
Objective
Start every new project with a consistent AI context, documentation contracts, and ChatGPT export support.
Checklist
- Select the appropriate project profile from
core/project-profiles/and create/scaffold the project. Choose the stack intentionally; once scaffolded, treat the installed environment as the starting point. Current profiles:laravel-webappfor Laravel web applications;roots-radiclefor Roots Radicle/Sage WordPress projects. Do not apply a profile to a project that is not that stack. - Bootstrap AI Platform infrastructure into the project:
- Preferred: from the target project root, run
/path/to/ai-platform/scripts/bootstrap-project.shwith no argument (uses$PWDwhen invoked from outside the AI Platform repository). - Alternative: from the AI Platform repository, run
scripts/bootstrap-project.sh /path/to/project. - Fallback: run
scripts/bootstrap-project.shfrom the AI Platform repository with no argument and supply the target path when prompted. Onboarding for a first-time clone lives in the harness clone:docs/getting-started.md(linked from that repository's README). Do not look for that file in the target project'sdocs/.
- Preferred: from the target project root, run
- Establish project-specific documentation contracts before substantive
feature development. Bootstrap installs templates and shared
infrastructure only; it does not populate project truth.
Existing projects: after bootstrap, run Project Adoption
(
core/prompts/project-adoption.md) in a fresh agent session. - Export initial ChatGPT context and upload to your ChatGPT Project.
- Begin implementation.
Bootstrap Target Resolution
scripts/bootstrap-project.sh resolves the target project as follows:
- Explicit path argument, if supplied
- Current working directory (
$PWD) when invoked from outside the AI Platform repository - Interactive prompt as the fallback
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.
- 2d ago First seen · 299 lines · 11 tokens per session scan A 6ca78f9f6f91
50-workflows is a cursor rule published in the GitHub repository ConlinJoe/ai-platform (2 stars, last pushed 4d ago), licensed MIT. It adds 11 tokens to every session and 2,918 once invoked, about $0.0001 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 cursor rules, from other repositories
wize-sprint-status
4-implementation: Sprint Status.
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).
operating-model
Engineering operating model — workflow, risk classification, scope discipline.
sprint-planning
BMAD BMM Agent: sprint-planning.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.