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 skills add adriannoes/awesome-agentic-ai --skill performing-soc2-type2-audit-preparationgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/performing-soc2-type2-audit-preparation)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/performing-soc2-type2-audit-preparation"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/performing-soc2-type2-audit-preparation/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.
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/performing-soc2-type2-audit-preparation"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/performing-soc2-type2-audit-preparation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 164 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.
- medium Excessive Agency · line 182 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 5.1 | $0.00112 | $0.02541 |
| Opus 5 | $0.00056 | $0.01270 |
| Sonnet 5 | $0.00022 | $0.00508 |
| Haiku 4.5 | $0.00011 | $0.00254 |
Grade A, and why
performing-soc2-type2-audit-preparation 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 8d 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.
prs = requests.get( How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performing SOC 2 Type II Audit Preparation
When to Use
- When preparing for a SOC 2 Type II audit engagement with a CPA firm
- When conducting a gap assessment against AICPA Trust Services Criteria
- When automating evidence collection across cloud infrastructure and identity providers
- When validating that controls have operated effectively over the audit period (3-12 months)
- When building continuous compliance monitoring to maintain SOC 2 posture between audits
- When remediating control gaps identified during readiness assessment
Prerequisites
- Familiarity with AICPA Trust Services Criteria (CC1-CC9)
- Access to cloud provider APIs (AWS, Azure, or GCP) with read-only permissions
- Access to identity provider (Okta, Azure AD, Google Workspace)
- Access to version control system (GitHub, GitLab)
- Access to ticketing system (Jira, Linear, ServiceNow)
- Python 3.8+ with
boto3,requests,pyyamldependencies - Appropriate authorization to collect compliance evidence
Instructions
1. Understand the Trust Services Criteria
SOC 2 is built on five Trust Services Categories defined by AICPA. Security (Common Criteria CC1-CC9) is mandatory; the others are selected based on business relevance:
| Category | Criteria | Focus |
|---|---|---|
| Security (mandatory) | CC1-CC9 | Control environment, risk, access, operations, change management |
| Availability | A1 | System uptime and disaster recovery |
| Processing Integrity | PI1 | Accurate and complete data processing |
| Confidentiality | C1 | Protection of confidential information |
| Privacy | P1-P8 | Personal information lifecycle |
2. Common Criteria Breakdown (CC1-CC9)
CC1 - Control Environment: Board oversight, management structure, integrity and ethical values, HR policies, accountability.
CC2 - Communication and Information: Internal/external communication of security policies, system boundaries, roles, and responsibilities.
CC3 - Risk Assessment: Risk identification, fraud risk analysis, change impact assessment, risk tolerance definition.
What ships with it
7 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.
- 8d ago First seen · 309 lines · 112 tokens per session scan A 8d94fe1449f5
performing-soc2-type2-audit-preparation is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 112 tokens to every session and 2,541 once invoked, about $0.0006 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 2026-09-03.
Other skills, from other repositories
compliance
Use when scoping which regulatory frameworks bind a business — SOC 2, ISO 27001, HIPAA, PCI DSS, EU AI Act, DORA, NIS2 — building a control register with owners and evidence, or standing up the cadence that keeps it audit-ready. NOT drafting privacy-policy/ROPA/DPA or ToS text (that is gdpr-privacy, terms-conditions)…
GRC & Compliance
Governance, risk, and compliance — risk assessment and scoring, control mapping across NIST CSF 2.0 / ISO 27001:2022 / SOC 2 / CIS Controls v8, gap analysis, audit evidence preparation, and security policy generation.
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.
asking-user-questions
Use when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step. Shared norms for the tool — not a workflow, nothing to execute.
setting-up-a-project
Use whenever asked to set up, onboard, initialize, or spec a project — the front door when the workspace has no spec graph yet (brand-new or an existing codebase); also seeded by the app's Set-up-project card (/skill:setting-up-a-project). Not for feature work in an already-specced project — use the brainstorming…
writing-specs
Use when a workflow step drafts or revises a spec artifact — a goal-and-requirements, an architecture, or a module SPEC — or when a workflow skill names it at such a step. The shared quality bar for specs — not a workflow, nothing to execute.