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 agentmods add skills/runxhq/runx/data-subject-requestnpx skills add runxhq/runx --skill data-subject-requestgit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/data-subject-request)<a href="https://agentmods.dev/skills/runxhq/runx/data-subject-request"><img src="https://agentmods.dev/badge/skills/runxhq/runx/data-subject-request.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00042 | $0.00581 |
| Opus 5 | $0.00021 | $0.00291 |
| Sonnet 5 | $0.00008 | $0.00116 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
data-subject-request 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 4d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Subject Request
Judge whether a data subject request is in policy without erasing, exporting,
or sending anything. The skill reads a request packet, requestor proof, and
policy bounds, decides eligibility deterministically, appends the verdict to
the subject request event stream through data-store, and returns a bounded
handoff that a separate governed operator run may consume.
This is not a legal authority and does not replace counsel. It is an execution boundary for policy evidence: the receipt proves which inputs were inspected, which lawful basis was named, which scope was allowed or refused, and which durable verdict was appended.
Composes
data-store#append_event
Procedure
- Native
data.digestbinds the exact request packet and policy. - Deterministic judgment: the request type must be erasure or export, the
identity provider must be in
trusted_identity_providers, the proof must carry a validverified_atand a sha256 assertion digest bound to the same subject, a lawful basis must be named for the request type, and every requested data class must sit inside bothscope_bounds.data_classesand the type-specific allowed list. Any failure refuses with every reason named; nothing is inferred. - The verdict, eligible or refused, is appended to the pinned
data-storestream with optimistic concurrency and an idempotency key, so repeated runs cannot double-record. - The final packet binds the append evidence and both digests. An eligible
verdict carries a bounded handoff (erasure operator, or
read-projection through
redact-piiintosend-asfor export); a refusal carries escalation tohuman_privacy_reviewand no handoff.
downstream_effect_performed is always false; the downstream operator owns the
actual erasure or export under its own authority and receipt.
Output
subject_request_verdict (runx.data_subject_request.v1) carries request,
decision, escalation, legal, requestor, scope_bounds, handoff or
null, persistence with the committed stream version, and both input digests.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 55 lines · 42 tokens per session scan A 65a6d4775a6e
data-subject-request is a skill published in the GitHub repository runxhq/runx (84 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 581 once invoked, about $0.0002 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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