ai-inventory
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer,…
Walk through a Data Subject Access Request (or deletion, portability, correction request) and draft the response — verify identity, locate data system-by-system, assess exemptions, draft the acknowledgment and substantive response letters. Use when a DSAR comes in, the user
$ npx -y skills add anthropics/claude-for-legal --skill dsar-response --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dsar-responseContext preview
The summary Claude sees to decide when to auto-load this skill.
Walk through a Data Subject Access Request (or deletion, portability, correction request) and draft the response — verify identity, locate data system-by-system, assess exemptions, draft the acknowledgment and substantive response letters. Use when a DSAR comes in, the user
name: dsar-response description: > Walk through a Data Subject Access Request (or deletion, portability, correction request) and draft the response — verify identity, locate data system-by-system, assess exemptions, draft the acknowledgment and substantive response letters. Use when a DSAR comes in, the user pastes an access/deletion/portability/correction request, or says "DSAR came in", "access request", "right to be forgotten", or "someone wants their data". argument-hint: "[paste the request, or describe it]"
1. Load `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → DSAR process (systems list, verification method, SLA). 2. Run the workflow below. 3. Classify request type. Check escalation triggers — if any fire, route before proceeding. 4. Walk through: verify identity → walk systems list → exemption analysis → draft. 5. Output response draft. Do NOT send — human reviews and sends. 6. Log the DSAR per house process.
**Before pasting the request:** the request will contain the data subject's PII. Confirm your session and output storage meet your data-handling requirements. Redact anything you don't need (ID attachments, unrelated email threads). Do not store the subject's name in filenames.
/privacy-legal:dsar-response [paste the request email]
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**Matter context.** Check `## Matter workspaces` in the practice-level CLAUDE.md. If `Enabled` is `✗` (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run `/privacy-legal:matter-workspace switch <slug>` or say `practice-level`." Load the active matter's `matter.md` for matter-specific context and overrides. Write outputs to the matter folder at `~/.claude/plugins/config/claude-for-legal/privacy-legal/matters/<matter-slug>/`. Never read another matter's files unless `Cross-matter context` is `on`.
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A DSAR has a deadline (set by the applicable regime), a process (verify, locate, assess exemptions, respond), and a bunch of places it can go wrong. This skill walks through each step and drafts the response.
This analysis assumes the jurisdictional scope specified in your configuration. Privacy rules, response deadlines, and lawful bases vary materially by jurisdiction (GDPR vs. state consumer privacy laws vs. sectoral). If the data subject, processing activity, or controller is in a different jurisdiction than configured, this analysis may not apply as written.
Read `~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md` → `## DSAR process`. That section has:
If the systems list is empty or stale, flag it — can't do a complete DSAR without knowing where to look.
Identify which right the data subject is invoking. Common categories:
**Research the applicable rule before proceeding.** For each invoked right, identify the jurisdiction(s) whose law applies (GDPR, UK GDPR, CCPA/CPRA, other US state privacy laws, sectoral regimes). Cite the controlling statute or regulation with pinpoint references — the specific article/section, the scope of the right, any carve-outs. Note effective dates; data subject rights are amended frequently (new state laws each legislative session). Flag uncertainty and escalate for attorney verification rather than stating a rule you haven't confirmed.
> **No silent supplement.** If a research query to the configured legal research tool returns few or no results for the jurisdiction's rights, exemptions, or deadlines, report what was found and stop. Do NOT fill the gap from web search or model knowledge without asking. Say: "The search returned [N] results from [tool]. Coverage appears thin for [regime / right]. Options: (1) broaden the search query, (2) try a different research tool, (3) search the web — results will be tagged `[web search — verify]` and should be checked against a primary source before relying, or (4) flag as unverified and stop. Which would you like?" A lawyer decides whether to accept lower-confidence sources. > > **Source attribution tiering.** Tag every citation with its source. For model-knowledge citations, use one of three tiers rather than a single blanket "verify" tag: > > - `[settled]` — stable, well-known statutory and regulatory references unlikely to have changed (e.g., GDPR Art. 33, CCPA § 1798.100, FTC Act § 5, 45-day CCPA response window under § 1798.130(a)(2) as a concept). Still verify before filing, but lower priority. > - `[verify]` — model-knowledge citations that are real but should be verified: specific implementing regulations, agency guidance, case holdings, thresholds, effective dates, post-2023 amendments. > - `[verify-pinpoint]` — pinpoint citations (specific subsection letters, volume/page numbers, paragraph numbers, regulatory subpart references) carry the highest fabrication risk and should ALWAYS be verified against a primary source. > > Tool-retrieved citations keep their source tag (`[Westlaw]`, `[issuing authority site]`, or the MCP tool name); web-search citations remain `[web search — verify]`; user-supplied citations remain `[user provided]`. The tiering surfaces the real verification wo
Reference agents, skills, and data connectors for the legal workflows we see most — in-house commercial, privacy, product, corporate, employment, litigation, regulatory, AI governance, IP, and the learning side of the practice (law school clinics and
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