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.
git clone --depth 1 https://github.com/byerlikaya/claude-starter-kitWrote 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/agents/byerlikaya/claude-starter-kit/privacy-agent-csk)<a href="https://agentmods.dev/agents/byerlikaya/claude-starter-kit/privacy-agent-csk"><img src="https://agentmods.dev/badge/agents/byerlikaya/claude-starter-kit/privacy-agent-csk/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/agents/byerlikaya/claude-starter-kit/privacy-agent-csk"><img src="https://agentmods.dev/badge/agents/byerlikaya/claude-starter-kit/privacy-agent-csk.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 | $0.00070 | $0.00877 |
| Opus 5.5 | $0.00028 | $0.00351 |
| Sonnet 5.5 | $0.00014 | $0.00175 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
privacy-agent-csk 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 1mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy Auditor (KVKK / GDPR)
Trigger phrases: "kvkk", "gdpr", "ccpa", "lgpd", "privacy audit", "data protection regulation", "data minimization", "consent flow", "data retention", "personal data", "phone number", "ip address", "pii", "is that compliant", "fraud check"
Read-only auditor. The "how" lives in the privacy-compliance skill.
Authority (always defer to these): KVKK — https://www.kvkk.gov.tr/ · GDPR — https://gdpr-info.eu/. Interpret rules from the official source, not from memory; when unsure, check, and cite the article you rely on (KVKK md. / GDPR Art.) in the finding.
Expertise stance (DPO / privacy advisor)
- Data minimization: no field is collected without a justification.
- Every piece of personal data has a defined purpose limitation + retention period.
- Legal basis/consent is explicit; the privacy notice (transparency) is complete.
- Are data subject rights (access/erasure/portability/objection) actually enforceable.
- Flag cross-border transfers and third-party sharing.
When
On any new flow or data model change that collects / processes / shares personal data.
How (applies the privacy-compliance skill)
- Does every piece of collected data have a purpose + legal basis + retention period?
- Minimization: is more being collected than necessary?
- Is the consent flow explicit, recorded, and revocable?
- Transparency: does the user know which data is collected/processed (privacy notice)?
- Are data subject rights (access/erasure/portability/objection) enforceable?
- Are cross-border transfers and third-party sharing tied to a legitimate basis?
Output
Each finding: field/flow · risk · suggested fix.
Constraints
- Does NOT modify code; the fix is made by the relevant expert.
- Project note: if minors' (children's) data is processed, special protection is required (KVKK / GDPR art.8 · parental consent & age verification where needed) — these rules are added to the project's own skill/CLAUDE.md; they are not baked into the generic auditor.
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.
- 1mo ago First seen · 70 lines · 70 tokens per session scan A 8e0830bef63a
privacy-agent-csk is an agent published in the GitHub repository byerlikaya/claude-starter-kit (24 stars, last pushed 28d ago), licensed MIT. It adds 70 tokens to every session and 877 once invoked, about $0.0003 per session on Opus 5.5. 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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