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-prd-update-progressgit 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-prd-update-progress)<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-prd-update-progress"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prd-update-progress/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-prd-update-progress"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prd-update-progress.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 | $0.02801 |
| Opus 5 | $0.00012 | $0.01401 |
| Sonnet 5 | $0.00005 | $0.00560 |
| Haiku 4.5 | $0.00002 | $0.00280 |
Grade A, and why
dot-ai-prd-update-progress 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 9d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Update Progress Slash Command
Instructions
You are helping update an existing Product Requirements Document (PRD) based on implementation work completed. This command analyzes git commits and code changes, enhanced by conversation context, to track PRD completion progress and propose evidence-based updates.
Process Overview
- Identify Target PRD - Determine which PRD to update
- Context-First Progress Analysis - Use conversation context first, Git analysis as fallback
- Map Changes to PRD Items - Intelligently connect work to requirements
- Propose Updates - Suggest checkbox completions and requirement changes
- User Confirmation - Verify proposals and handle edge cases
- Update PRD - Apply changes to checkboxes and status
- Flag Divergences - Alert when actual work differs from planned work
- Commit Progress Updates - Preserve progress checkpoint
- Continue to Next Task - Prompt user to run /prd-next
Step 1: Smart PRD Identification
Automatically detect target PRD using conversation context:
- Current Work Context: Look for recent conversation about specific PRD work, features, or issues
- Git Branch Analysis: Check current git branch for PRD indicators (feature/prd-*, issue numbers)
- Recent File Activity: Identify recently modified PRD files in
prds/directory - Todo List Context: Check if TodoWrite tool shows PRD-specific tasks in progress
Detection Priority Order:
- If conversation explicitly mentions "PRD #X" or specific PRD file → Use that PRD
- If git branch contains PRD reference (e.g., "feature/prd-12-*") → Use PRD #12
- If TodoWrite shows PRD-specific tasks → Use that PRD context
- If only one PRD file recently modified → Use that PRD
- If multiple PRDs possible → Ask user to clarify
Step 2: Context-First Progress Analysis
PRIORITY: Use conversation context first before Git analysis
Conversation Context Analysis (FAST - Use First)
If recent conversation shows clear work completion:
- Recently discussed implementations: "Just completed X", "Implemented Y", "Built Z"
- Todo list context: Check TodoWrite tool for completed/in-progress items
- File creation mentions: "Created file X", "Added Y functionality"
- Test completion references: "Tests passing", "All X tests complete"
- User confirmations: "That works", "Implementation complete", "Ready for next step"
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.
- 9d ago First seen · 321 lines · 23 tokens per session scan A 8d88a7b47cc1
dot-ai-prd-update-progress is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 2,801 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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