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 vfarcic/dot-ai --skill dot-ai-prds-getgit clone --depth 1 https://github.com/vfarcic/dot-aiWrote 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/vfarcic/dot-ai/dot-ai-prds-get)<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-prds-get"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prds-get/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/vfarcic/dot-ai/dot-ai-prds-get"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prds-get.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00522 |
| Opus 5 | $0.00012 | $0.00261 |
| Sonnet 5 | $0.00005 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
dot-ai-prds-get 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 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.
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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Get All PRDs
Fetch all open GitHub issues from this project that have the 'PRD' label.
Note: If any gh command fails with "command not found", inform the user that GitHub CLI is required and provide the installation link: https://cli.github.com/
Process
-
Fetch Issues: Use GitHub CLI to get all open issues with PRD label
gh issue list --label PRD --state open --json number,title,url,labels,assignees,createdAt,updatedAt -
Format Results: Present the issues in a clear, organized format showing:
- Issue number and title
- Creation and last update dates
- Current assignees (if any)
- Direct link to the issue
- PRD file link (if available in issue description)
-
Meaningful Categorization: Group PRDs by their actual purpose and impact, not generic labels:
- Architecture & Infrastructure: Core system changes, API designs, major refactors
- User Experience: Features that directly impact how users interact with the system
- Developer Experience: Tools, workflows, testing, documentation that help developers
- AI & Intelligence: Machine learning, AI-powered features, recommendation engines
- Operations & Monitoring: Deployment, scaling, observability, performance
- Integration & Extensibility: Third-party integrations, plugin systems, APIs
Each category should briefly explain what the PRDs in that group will accomplish for users or the system.
-
Priority Analysis: If multiple PRDs exist, help identify:
- Which PRDs are most recently updated or have active discussion
- Which PRDs have dependencies on other PRDs
- Which PRDs are foundational vs. incremental improvements
- Which PRDs might be blocked or need clarification
-
Next Steps Suggestion: Based on the PRD list, suggest logical next actions:
- Which PRD to work on next based on dependencies and impact
- PRDs that need attention, updates, or clarification
- Opportunities for parallel work on independent PRDs
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 · 50 lines · 23 tokens per session scan A 079caf47ca01
dot-ai-prds-get is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 522 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 2026-08-30.
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