Agent skill

Audit Follow Up Verify

by mukul975 in mukul975/Privacy-Data-Protection-Skills

Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation…

Apache-2.0Auto-check passedLegal & Compliance

Install Audit Follow Up Verify

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-follow-up-verify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills audit-follow-up-verify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/audit-follow-up-verify .claude/skills/audit-follow-up-verify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-follow-up-verify
GitHub stars
301
Token cost
~1.5k tokens
SKILL.md length
636 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation…

  • Works in 6 steps: Remediation actions completed: All… → Evidence provided: Remediation Owner… → Independent verification: Verification… → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Follow-Up Scheduling, Verification Testing Methods and Closure Criteria, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Audit Follow Up Verify is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation of unremediated findings. Implements IIA Standard 2500 monitoring requirements and ISO 19011 follow-up guidance for privacy audit engagements. Keywords: audit follow-up, verification testing, finding closure, remediation effectiveness, re-testing, follow-up audit.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/standards.md` and `references/workflows.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “Use the audit-follow-up-verify skill to guide audit follow-up and verification processes including follow-up scheduling, remediation effectiveness…”
  • “/audit-follow-up-verify”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Remediation actions completed: All planned actions documented as complete by the Remediation Owner
  2. Evidence provided: Remediation Owner provides documentary evidence of completion
  3. Independent verification: Verification Owner (auditor or independent party) confirms effectiveness through testing
  4. Root cause addressed: Verification confirms the underlying root cause is resolved, not just the symptom
  5. Sustainable: The fix is embedded in ongoing processes (not a one-time manual correction)
  6. Documented: Working papers document the verification procedure, evidence reviewed, and conclusion

What it can do on your machine

Read from SKILL.md and the folder at commit 9b2ef9e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Audit Follow Up Verify loads about 1.5k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 636 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 636 words, ~1,549 tokens.

Download SKILL.mdSave it as .claude/skills/audit-follow-up-verify/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
audit-follow-up-verify
description
Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation of unremediated findings. Implements IIA Standard 2500 monitoring requirements and ISO 19011 follow-up guidance for privacy audit engagements. Keywords: audit follow-up, verification testing, finding closure, remediation effectiveness, re-testing, follow-up audit.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
privacy-audit-certification
metadata.tags
audit-follow-up, verification-testing, finding-closure, remediation-effectiveness, re-testing

Audit Follow-Up and Verification

Overview

Audit follow-up is the process by which the audit function monitors and verifies that management has effectively implemented remediation actions in response to audit findings. IIA Standard 2500 requires the Chief Audit Executive to establish and maintain a system to monitor the disposition of results communicated to management. Follow-up is not merely tracking whether actions were completed — it requires independent verification that the remediation actually addresses the root cause and reduces the identified risk to an acceptable level.

In privacy audits, effective follow-up is critical because unremediated findings represent ongoing regulatory non-compliance. A GDPR Art. 5(2) accountability failure, an unpatched consent mechanism, or a persistent DSAR processing delay exposes the organization to supervisory authority enforcement, data subject complaints, and reputational harm.

Follow-Up Scheduling

Follow-up timing is driven by finding severity:

SeverityInitial Follow-UpRe-test if PartialMaximum Extensions
Critical30 days after target date15 days1 (requires CPO approval)
High60 days after target date30 days2 (requires DPO approval)
Medium90 days after target date45 days2
Low180 days after target date90 days3
AdvisoryNext scheduled auditN/AN/A

Verification Testing Methods

Re-Performance

The auditor independently repeats the control activity to verify it produces the expected result. Used for procedural controls (e.g., re-performing a DSAR response to verify the process meets the 30-day deadline).

Inspection

The auditor examines records, documents, or system configurations produced after remediation to verify the control is operating as designed. Used for documentary controls (e.g., inspecting updated DPAs for Art. 28 compliance).

Observation

The auditor observes the remediated process in real-time to verify it functions correctly. Used for operational controls (e.g., observing the updated breach notification workflow during a tabletop exercise).

Inquiry and Corroboration

The auditor interviews process owners about the remediated control and corroborates statements with independent evidence. Used when direct testing is impractical.

Data Analytics

The auditor analyzes post-remediation data to verify the control is producing expected outcomes. Used for measurable controls (e.g., analyzing DSAR response times post-remediation to verify improvement).

Show full SKILL.md (297 more words)Show less

Closure Criteria

A finding may be closed only when ALL of the following are satisfied:

  1. Remediation actions completed: All planned actions documented as complete by the Remediation Owner
  2. Evidence provided: Remediation Owner provides documentary evidence of completion
  3. Independent verification: Verification Owner (auditor or independent party) confirms effectiveness through testing
  4. Root cause addressed: Verification confirms the underlying root cause is resolved, not just the symptom
  5. Sustainable: The fix is embedded in ongoing processes (not a one-time manual correction)
  6. Documented: Working papers document the verification procedure, evidence reviewed, and conclusion

Finding Status Lifecycle

New → In Progress → Remediation Complete → Pending Verification → Closed
                                                    ↓
                                              Partial Pass → Re-remediation → Pending Verification
                                                    ↓
                                                  Fail → Reopened → Escalation

Escalation for Unremediated Findings

TriggerEscalation LevelAction
Finding overdue 30+ days (Critical)CPO and CISOMandatory management meeting within 5 days
Finding overdue 45+ days (High)Audit CommitteeReport to next Audit Committee meeting
Finding failed verification twiceDPO and CPORoot cause review and revised plan required
Finding open 12+ months (any severity)Board Audit CommitteeInclude in annual audit opinion
Repeated finding (same root cause, 3+ occurrences)Audit CommitteeSystemic issue investigation

Reporting

Individual Finding Follow-Up Report

Produced for each verification event: finding reference, verification method, evidence reviewed, test results, conclusion (pass/partial/fail), and recommended next steps.

Periodic Follow-Up Summary

Monthly report to DPO and CPO summarizing: total open findings by severity, overdue findings, findings closed in period, verification pass rate, aging analysis, and escalation status.

Annual Audit Opinion Impact

Unremediated findings at year-end are factored into the annual audit opinion. Persistent critical or high findings may result in an "Unsatisfactory" or "Needs Improvement" rating.

Integration Points

  • audit-remediation-program: Follow-up verifies the effectiveness of remediation managed by the remediation program
  • audit-evidence-collect: Follow-up requires fresh evidence collection using the same quality standards
  • audit-report-writing: Follow-up results feed into periodic and annual audit reports
  • records-of-processing: Follow-up may verify corrections to ROPA entries

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/audit-follow-up-verify of mukul975/Privacy-Data-Protection-Skills.

  • SKILL.md
  • assets/template.md
  • references/standards.md
  • references/workflows.md
  • scripts/process.py

Open the folder on GitHubat commit 9b2ef9e

Compare with similar skills

Audit Follow Up Verify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit Follow Up Verify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Follow Up Verify this skillmukul975/Privacy-Data-Protection-Skills301—~1.5kAutomated safety check: PassApache-2.0
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Audit Follow Up Verify

What does Audit Follow Up Verify do?

Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation…. Audit Follow Up Verify is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides audit follow-up and verification processes including follow-up scheduling, remediation effectiveness testing, finding closure criteria, re-testing procedures, status reporting, and escalation of unremediated findings.

When should I use Audit Follow Up Verify?

Audit Follow Up Verify fits situations like: tasks that involve Privacy and GDPR.

How do I install Audit Follow Up Verify in Claude Code?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-follow-up-verify -a claude-code`. Or copy the skill folder (skills/privacy/audit-follow-up-verify in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/audit-follow-up-verify in your project. Claude Code loads it when a task matches its description.

How do I install Audit Follow Up Verify in Codex?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-follow-up-verify -a codex`. Or copy the skill folder (skills/privacy/audit-follow-up-verify in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/audit-follow-up-verify in your project. Codex loads it when a task matches its description.

Can I use Audit Follow Up Verify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill audit-follow-up-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-follow-up-verify, .gemini/skills/audit-follow-up-verify, .github/skills/audit-follow-up-verify and .opencode/skills/audit-follow-up-verify in your project.

What does Audit Follow Up Verify need to run?

Going by SKILL.md and its folder, Audit Follow Up Verify needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Audit Follow Up Verify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit Follow Up Verify safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Audit Follow Up Verify use?

Audit Follow Up Verify is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Follow Up Verify use?

About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Audit Follow Up Verify?

Skills that share tags, products or a category with Audit Follow Up Verify: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Follow Up Verify?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 skills in this directory. The repository was last updated on March 16, 2026.

Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.