Borrowing it
Nothing to install: this file belongs to kevmoo/dash_skills. 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/kevmoo/dash_skills/main/GEMINI.mdgit clone --depth 1 https://github.com/kevmoo/dash_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/instructions/kevmoo/dash_skills/gemini-md)<a href="https://agentmods.dev/instructions/kevmoo/dash_skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/kevmoo/dash_skills/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/kevmoo/dash_skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/kevmoo/dash_skills/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 | $0.00565 | $0.00565 |
| Opus 5.5 | $0.00226 | $0.00226 |
| Sonnet 5.5 | $0.00113 | $0.00113 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
dash_skills 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authoring and Maintaining Skills
This repository contains a curated collection of "skills" for the Gemini CLI and other AI agents. Skills are modular, self-contained packages that extend an agent's capabilities with specialized knowledge and workflows.
Skill Structure
Each skill is located in skills/<skill-name>/ and must contain a SKILL.md
file.
skills/<skill-name>/
├── SKILL.md (required)
├── scripts/ (optional)
├── references/ (optional)
└── assets/ (optional)
SKILL.md
The SKILL.md file is the heart of the skill. It contains:
- YAML Frontmatter: Metadata including
nameanddescription. The description is critical as it's used by the agent to decide when to trigger the skill. - Markdown Instructions: Procedural knowledge, examples, and workflows.
Authoring Guidelines
- Be Concise: Agents have limited context windows. Focus on information the agent doesn't already have.
- Imperative Tone: Use imperative or infinitive form for instructions (e.g.,
"Use
isA<T>()for type checks" rather than "You should use..."). - 80-Column Rule: Wrap all text in
.mdfiles to 80 characters. This improves readability in terminals and split-pane editors. - Examples Over Explanations: Provide clear, realistic code snippets or interaction examples.
- Tool Integration: If a skill uses scripts in
scripts/, explain how the agent should invoke them. - YAML Frontmatter: Use YAML folded block scalars (
|-) for long descriptions to keep lines under 80 characters.
Maintaining Skills
- Keep Descriptions Accurate: The frontmatter
descriptionis the only thing the agent reads before activating the skill. Ensure it clearly states the "when to use" scenarios. - Test Scripts: Ensure all scripts in
scripts/are executable and produce LLM-friendly output. - Update References: Move detailed documentation or large schemas to the
references/folder to keep the mainSKILL.mdlean.
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 Changed · +1 lines · -11 tokens per session aca0f0a3cc95
- 2mo ago First seen · 60 lines · 576 tokens per session scan A 03f40ecdef79
dash_skills GEMINI.md is an instructions file published in the GitHub repository kevmoo/dash_skills (148 stars, last pushed 3d ago), licensed Apache-2.0. It adds 565 tokens to every session, about $0.0023 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.
dash_skills GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dash_skills GEMINI.mdkevmoo/dash_skills | Instructions file | 148 | 3d ago | Apache-2.0 | A | 565 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |