Borrowing it
Nothing to install: this file belongs to PIsberg/skill3. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PIsberg/skill3/main/GEMINI.mdgit clone --depth 1 https://github.com/PIsberg/skill3Wrote 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/instructions/pisberg/skill3/gemini-md)<a href="https://agentmods.dev/instructions/pisberg/skill3/gemini-md"><img src="https://agentmods.dev/badge/instructions/pisberg/skill3/gemini-md/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/instructions/pisberg/skill3/gemini-md"><img src="https://agentmods.dev/badge/instructions/pisberg/skill3/gemini-md.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 | $0.01465 | $0.01465 |
| Opus 5.5 | $0.00586 | $0.00586 |
| Sonnet 5.5 | $0.00293 | $0.00293 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
skill3 GEMINI.md 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md
AI guardrails for Google Gemini, generated from source annotations by VibeTags. The region between the VIBETAGS-START and VIBETAGS-END markers is regenerated on every compile; never hand-edit inside it. Per-element detail lives in , indexed from the block below.
AUTO-GENERATED AI RULES
Generated by VibeTags | https://github.com/PIsberg/vibetags
Do not edit manually.
🔒 PII / PRIVACY GUARDRAILS
The following elements handle Personally Identifiable Information (PII). NEVER include their runtime values in logs, console output, external API calls, test fixtures, mock data, or code suggestions.
se.deversity.skill3.llm.LocalLlmClient.apiKey: LLM provider API key — never log, echo, or include in errors/fixturesse.deversity.skill3.pipeline.BraveSearchClient.apiKey: Brave Search subscription token — never log, echo, or include in errors/fixtures
🧠 CORE FUNCTIONALITY (CHANGE WITH EXTREME CAUTION)
The following elements are well-tested core components. Make changes with extreme caution.
se.deversity.skill3.llm.SkillMdPostProcessor: Sensitivity: High. Note: Deterministically guarantees SKILL.md spec compliance; model output is never trusted. Changes risk emitting invalid frontmatter — keep the parsing and frontmatter synthesis covered by SkillMdPostProcessorTest.se.deversity.skill3.llm.Verifier: Sensitivity: High. Note: Accuracy gate that re-grounds claims against the sources. Only worthwhile with a capable model — a weak model rewrites rather than grounds. Keep the prompt strict about supported-claims-only and announced-vs-shipped.
🔐 SECURITY-CRITICAL CODE
The following elements are security-critical. AI must not weaken security properties. Any change must be reviewed for security impact.
se.deversity.skill3.llm.AnthropicChatModel: Security-critical code [Anthropic API credential handling and hosted-provider network egress]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.llm.LlmProviderFactory: Security-critical code [LLM provider credential resolution and model selection]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.llm.LocalLlmClient: Security-critical code [outbound LLM-provider credential (Bearer token) handling]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.llm.NameSanitizer: Security-critical code [output sanitization: reserved-word stripping must never be weakened]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.pipeline.BraveSearchClient: Security-critical code [external-API credential handling and the only network egress with a secret token]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.pipeline.DiscoveryProvider: Security-critical code [forwards the Brave subscription token to the search client; must not log it]. Do not weaken security properties. Flag any change for security review.se.deversity.skill3.pipeline.HttpPageFetcher: Security-critical code [outbound page fetch egress for partly-untrusted URLs; SSRF guard must not be weakened]. Do not weaken security properties. Flag any change for security review.
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 · 63 lines · 1,465 tokens per session scan A 8ca3e6dd1023
skill3 GEMINI.md is an instructions file published in the GitHub repository PIsberg/skill3 (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,465 tokens to every session, about $0.0059 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 2026-08-31.
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