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 haabe/mycelium --skill privacy-checkgit clone --depth 1 https://github.com/haabe/myceliumWrote 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/haabe/mycelium/privacy-check)<a href="https://agentmods.dev/skills/haabe/mycelium/privacy-check"><img src="https://agentmods.dev/badge/skills/haabe/mycelium/privacy-check.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.01346 |
| Opus 5 | $0.00010 | $0.00673 |
| Sonnet 5 | $0.00004 | $0.00269 |
| Haiku 4.5 | $0.00002 | $0.00135 |
Grade A, and why
privacy-check 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 3d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy Check Skill
Privacy by Design assessment.
Workflow
7 Foundational Principles (Cavoukian)
-
Proactive not Reactive: Are privacy measures built in from the start?
- Privacy considered in design phase, not bolted on
- Risks identified before implementation
-
Privacy as Default: Is the most private option the default?
- Data collection opt-in, not opt-out
- Minimum data collected by default
- Sharing disabled by default
-
Privacy Embedded in Design: Is privacy integral to the system?
- Privacy controls are core features, not add-ons
- Architecture supports data minimization
-
Positive-Sum, not Zero-Sum (originally "Full Functionality"): Privacy without trade-offs?
- Privacy features don't degrade user experience
- Not a false choice between privacy and functionality
- Avoid false dichotomies: privacy vs. security, privacy vs. business value
-
End-to-End Security: Data protected throughout its lifecycle?
- Encryption at rest and in transit
- Secure deletion when no longer needed
- Access controls throughout the data lifecycle
-
Visibility and Transparency: Is data processing transparent?
- Users know what data is collected and why
- Processing purposes documented and communicated
- Third-party sharing disclosed
-
Respect for User Privacy: Are user interests centered?
- Users can access their data
- Users can correct their data
- Users can delete their data
- Consent is informed, specific, and revocable
Data Protection Assessment
- What data is collected? List all personal data fields.
- Why? Lawful basis for each data element.
- How long? Retention period for each data type.
- Who accesses it? List all parties with access.
- Where is it stored? Data residency and cross-border transfers.
- How is it protected? Encryption, access control, monitoring.
- What if breached? Incident response plan exists?
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.
- 3d ago Changed · +40 lines 0387c608776f
- 7d ago First seen · 93 lines · 21 tokens per session scan A b2ff0b5f641f
privacy-check is a skill published in the GitHub repository haabe/mycelium (45 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,346 once invoked, about $0.0001 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 2026-08-30.
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