More screenshots
Works with the AI tools you already use
🗑️ DSAR & Deletion Completion Evidence Reconciler
Reconcile deletion-request evidence across systems, subprocessors, retention exceptions, and backup replay before human review.
Secure checkout via Stripe
See it in action
You say
as_of is timezone-aware; requests[] uses opaque request_id, identity-proof reference, deadline, and status; systems[] uses system_id and in-scope status; actions[] records request, system, action, exception, subprocessor, and backup evidence.
Your agent does
A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.
What you get
About this skill
DSAR & Deletion Completion Evidence Reconciler turns owner-supplied normalized evidence into a deterministic local review gate. Privacy teams close deletion requests while intake, identity-proof pointers, system actions, exceptions, subprocessors, and backup tombstones remain scattered. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. Fails closed on missing system actions, unsupported retention exceptions, missing subprocessor confirmations, deadline gaps, and backup-replay evidence without executing deletion. It uses only the Python standard library, makes no network request, changes no account or system, and never treats READY as source proof, certification, a legal or security verdict, a reimbursement promise, or authorization to act.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean today
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
Frequently Asked Questions
Browse More Skills
📘 README Generator
Generate a README from your actual repo, not a hallucinated guess. Scans your manifests (package.json, pyproject.toml, go.mod, Cargo.toml) for real install steps, scripts, and dependencies across Node, Python, Go, Rust, and Java. Documentation that matches the code instead of drifting from it.
🔎 Lead Enricher
Turn a company URL or name into a B2B lead profile: industry, size, tech stack, likely decision-makers, estimated email patterns, and buying signals like funding or hiring, each with a confidence score so guesses are labeled as guesses. One company at a time; for batch lists and CRM export, see Lead Enricher Pro.
✍️ Git Commit Writer
Generate Conventional Commit messages from your staged git diff: auto-detects type and scope from the changed files, flags breaking changes, and keeps work-in-progress out of the message. Clean, searchable history that plays nicely with automated changelog tools.
📊 Pipeline Reporter
Turn a messy CRM CSV export into a clean sales pipeline report: weighted forecast by stage, rep performance, and a close-date outlook, with column headers auto-mapped (ARR to Amount, AE to Owner) so inconsistent exports still work. The single-report version; for 12-month forecasting, CRM sync, and PDF, see Pipeline Reporter Pro.