dot-ai-prd-done

dot-ai-prd-done is a skill for Claude Code from vfarcic/dot-ai. It costs 27 tokens per session (4,170 once invoked), scanned A, original, MIT.

A workflow for finishing a product requirements document implementation, including branch management, pull request creation, merging, and issue closure. It uses a shorter path for documentation-only changes.

In plain words
What is it for?
Use it when all PRD work is ready to finish, test, push, merge, and close its related issue.
Why use it?
It provides a defined way to validate completed requirements and bring code changes through review and integration. It also distinguishes code work from updates to project documents.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it when all PRD work is ready to finish, test, push, merge, and close its related issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vfarcic/dot-ai/dot-ai-prd-done
Install

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.

Any agent
npx skills add vfarcic/dot-ai --skill dot-ai-prd-done
Clone the repo
git clone --depth 1 https://github.com/vfarcic/dot-ai

Made for: Claude Code.

Wrote 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.

agentmods badge for dot-ai-prd-done

README.md
[![agentmods](https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prd-done/github.svg)](https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-prd-done)
Your own site
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-prd-done"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prd-done/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.

agentmods 80×15 button for dot-ai-prd-done

Your own site · 80×15
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-prd-done"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-prd-done.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,170 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 54
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.04170
Opus 5 $0.00014 $0.02085
Sonnet 5 $0.00005 $0.00834
Haiku 4.5 $0.00003 $0.00417

Measured 10d ago against content hash 47a5aaf10be7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

dot-ai-prd-done 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.

.claude/skills/dot-ai-prd-done/SKILL.md · 343 lines

How it starts

The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Complete PRD Implementation

Complete the PRD implementation workflow including branch management, pull request creation, and issue closure.

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/

Workflow Steps

0. Implementation Type Detection

FIRST: Determine the type of PRD completion to choose the appropriate workflow

Documentation-Only Completion (Skip PR workflow):

  • ✅ Changes are only to PRD files or project management documents
  • ✅ No source code changes
  • ✅ No configuration changes
  • ✅ Feature was already implemented in previous work
  • Use Simplified Workflow (Steps 1, 2-simplified, 5 only)

Code Implementation Completion (Full PR workflow):

  • ✅ Contains source code changes
  • ✅ Contains configuration changes
  • ✅ Contains new functionality or modifications
  • ✅ Requires testing and integration
  • Use Full Workflow (Steps 1-6)

1. Pre-Completion Validation

  • All PRD checkboxes completed: Verify every requirement is implemented and tested
  • Documentation updated: All user-facing docs reflect implemented functionality
  • No outstanding blockers: All dependencies resolved and technical debt addressed
  • Update PRD status: Mark PRD as "Complete" with completion date
  • Archive PRD file: Move completed PRD to ./prds/done/ directory to maintain project organization
  • Update ROADMAP.md (if it exists): Remove the completed feature from docs/ROADMAP.md roadmap if the file exists

Note: Tests will run automatically in the CI/CD pipeline when the PR is created. Do not run tests locally during the completion workflow.

2. Branch and Commit Management

For Documentation-Only Completions:

  • Commit directly to main: git add [prd-files] and commit with skip CI flag
  • Use skip CI commit message: Include CI skip pattern in commit message to avoid unnecessary CI runs
    • Common patterns: [skip ci], [ci skip], ***NO_CI***, [skip actions]
    • Check project's CI configuration for the correct pattern
  • Push to remote: git pull --rebase origin main && git push origin main to sync changes

Read the full file on GitHub · 343 lines

Changes

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.

  1. 10d ago First seen · 343 lines · 27 tokens per session scan A 47a5aaf10be7

Subscribe to this mod's changes

dot-ai-prd-done is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 4,170 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.