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 codebygarv/Ai-skills --skill soc2-evidence-collectorgit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/soc2-evidence-collector)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/soc2-evidence-collector"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/soc2-evidence-collector/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/codebygarv/ai-skills/soc2-evidence-collector"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/soc2-evidence-collector.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00030 | $0.00411 |
| Opus 5 | $0.00015 | $0.00205 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
soc2-evidence-collector 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 7d 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.
What it actually says
Purpose
Automate and structure evidence collection for SOC 2 Type II compliance audits across the Trust Services Criteria (Security, Availability, Confidentiality), organizing access reviews, change control pull requests, encryption proof, and disaster recovery drill logs.
When to Use
- Preparing for annual SOC 2 Type I or Type II compliance audits.
- Configuring automated compliance platforms (Vanta, Drata, Secureframe).
- Creating tamper-proof audit trails for change management and production database access.
What to Analyze
- Change Management (CC8.1): Proof that all production deployments link to approved PRs with 2+ code reviews and passing CI checks.
- Access Control & Least Privilege (CC6.1 - CC6.3): Quarterly user access review logs, SSO MFA enforcement, and zero static root keys.
- Encryption in Transit & at Rest (CC6.6 - CC6.7): TLS 1.3 configs, AWS KMS encryption on RDS/EBS/S3, and automated certificate renewals.
- Incident Response & Postmortems (CC7.3 - CC7.4): Documented postmortems with completed preventative action item tickets.
- Backup & Disaster Recovery (A1.2): Automated verification logs of successful weekly test database restores.
Output Format
- SOC 2 Evidence Checklist Table: Control ID, Evidence Description, Source System, Automated Extraction Script.
- Audit Evidence Template: Standardized markdown artifact for auditor submission.
- Automation Script: CLI / GitHub Actions workflow to export change management and access logs.
Avoid
- Taking manual screenshots of cloud consoles that become stale or unverifiable.
- Granting direct, unmonitored production database access without break-glass ticketing.
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.
- 7d ago First seen · 34 lines · 30 tokens per session scan A 4bc69b6dc4b4
soc2-evidence-collector is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 21d ago), licensed MIT. It adds 30 tokens to every session and 411 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 2026-09-03.
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