DashClaw: Skill for Claude Code

.claude/skills/dashclaw-agent/compliance-drift-evals/SKILL.md

compliance-drift-evals is a skill for Claude Code from ucsandman/DashClaw. It costs 22 tokens per session (2,034 once invoked), scanned A, original, MIT.

A toolkit for producing compliance evidence, detecting changes in monitored behavior, evaluating agents, scoring results, and tracking learning analytics. Compliance frameworks such as SOC 2, NIST AI RMF, the EU AI Act, and ISO 42001 are standards or regulations used to assess organizational controls and AI management.

In plain words
What is it for?
Use it to create compliance evidence exports, schedule recurring reports, detect drift, run evaluations, score agent behavior, and review learning trends.
Why use it?
It brings audit exports, monitoring, and agent-quality measurements into one workflow instead of assembling them manually.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ucsandman/DashClaw's own configuration. It tells Claude Code how to work on DashClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DashClaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ucsandman/DashClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ucsandman/DashClaw/main/.claude/skills/dashclaw-agent/compliance-drift-evals/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ucsandman/DashClaw

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 compliance-drift-evals

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/dashclaw/compliance-drift-evals/github.svg)](https://agentmods.dev/skills/ucsandman/dashclaw/compliance-drift-evals)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/dashclaw/compliance-drift-evals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/compliance-drift-evals/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 compliance-drift-evals

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsandman/dashclaw/compliance-drift-evals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/compliance-drift-evals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,034 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 medium

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 →

  • medium Data Exfiltration · line 47
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00022 $0.02034
Opus 5 $0.00011 $0.01017
Sonnet 5 $0.00004 $0.00407
Haiku 4.5 $0.00002 $0.00203

Measured 9d ago against content hash 1bdcfbf46d62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

compliance-drift-evals scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "$DASHCLAW_BASE_URL/api/compliance/exports" \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/dashclaw-agent/compliance-drift-evals/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Compliance, Drift, Evaluations & Learning

DashClaw's analytical capabilities for governance evidence, behavioral monitoring, and agent quality tracking.


Compliance Exports

Generate audit-ready evidence bundles for regulatory frameworks.

Supported Frameworks

Framework ID Description
SOC 2 soc2 Service Organization Control
NIST AI RMF nist-ai-rmf AI Risk Management Framework
EU AI Act eu-ai-act European AI regulation
ISO 42001 iso42001 AI Management System

Create an Export

// V1 SDK
const exp = await claw.createComplianceExport({
  name: 'Q1 2026 SOC 2 Audit',
  frameworks: ['soc2'],
  format: 'json',        // or 'md'
  window_days: 90,
  include_evidence: true,
  include_remediation: true,
  include_trends: true
});
# API
curl -X POST "$DASHCLAW_BASE_URL/api/compliance/exports" \
  -H "x-api-key: $DASHCLAW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name":"Q1 Audit","frameworks":["soc2"],"window_days":90}'

Scheduled Exports

await claw.createComplianceSchedule({
  name: 'Weekly SOC 2',
  frameworks: ['soc2'],
  cron_expression: '0 9 * * 1',  // Every Monday at 9am
  window_days: 7,
  include_evidence: true
});

Gap Analysis

const gaps = await claw.analyzeGaps('soc2');
// Returns: missing controls, partial coverage, recommendations

Coverage Trends

const trends = await claw.getComplianceTrends({ framework: 'soc2', limit: 12 });
// Monthly coverage scores over time

Drift Detection

Statistical behavioral drift detection using z-scores. Pure math — no LLM required.

6 Tracked Metrics

Metric What It Measures
risk_score Are actions getting riskier?
confidence Is agent confidence dropping?
duration_ms Are actions taking longer?
cost_estimate Are costs increasing?
tokens_total Is token usage growing?
learning_score Is the agent learning?

Read the full file on GitHub · 322 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. 9d ago First seen · 322 lines · 22 tokens per session scan A 1bdcfbf46d62

Subscribe to this mod's changes

compliance-drift-evals is a skill published in the GitHub repository ucsandman/DashClaw (299 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 2,034 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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