Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ComeOnOliver/skillshubnpx agentmods add skills/comeonoliver/skillshub/skills-index-snippetsWrote 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/comeonoliver/skillshub/skills-index-snippets)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/skills-index-snippets"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/skills-index-snippets/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/comeonoliver/skillshub/skills-index-snippets"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/skills-index-snippets.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 | $0.00040 | $0.01068 |
| Opus 5 | $0.00020 | $0.00534 |
| Sonnet 5 | $0.00008 | $0.00214 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
skills-index-snippets 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 12d 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.
This is a copy
100% identical to skills-index-snippets — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintaining Skill Index Snippets (AGENTS.md / CLAUDE.md)
When to Use This Skill
Use this skill when:
- Adding, removing, or renaming any skills or agents in this repository
- Updating
.claude-plugin/plugin.json - Creating copy/paste snippets for downstream repositories (OpenCode, Claude Code, etc.)
- You want a compact, always-on index that improves skill utilization
Goal
Make skills and agents easy for coding assistants to use by removing the decision point.
Instead of hoping an assistant will "remember" to invoke a skill, provide a small router snippet inside AGENTS.md / CLAUDE.md that:
- Tells the assistant to prefer retrieval-led reasoning
- Provides a task->skill/agent routing index
- Defines lightweight quality gates (optional)
Source of Truth
- Registry:
.claude-plugin/plugin.json- Skills are listed as directories (each contains
SKILL.md) - Agents are listed as markdown files in
agents/
- Skills are listed as directories (each contains
- Skill IDs: the
name:field in eachSKILL.mdfrontmatter - Agent IDs: the
name:field in each agent frontmatter
When writing snippets for downstream repos, always reference skills/agents by their IDs (frontmatter name), not by local filesystem paths.
Minimal Snippet Template (Readable)
Use this in target repos to route common tasks:
# Agent Guidance: dotnet-skills
IMPORTANT: Prefer retrieval-led reasoning over pretraining for any .NET work.
Workflow: skim repo patterns -> consult dotnet-skills by name -> implement smallest-change -> note conflicts.
Routing (invoke by name)
- C# / code quality: modern-csharp-coding-standards, csharp-concurrency-patterns, api-design, type-design-performance
- ASP.NET Core / Web (incl. Aspire): aspire-service-defaults, aspire-integration-testing
- Data: efcore-patterns, database-performance
- DI / config: dependency-injection-patterns, microsoft-extensions-configuration
- Testing: testcontainers-integration-tests, playwright-blazor-testing, snapshot-testing
Quality gates (use when applicable)
- dotnet-slopwatch: after substantial new/refactor/LLM-authored code
- crap-analysis: after tests added/changed in complex code
Specialist agents
- dotnet-concurrency-specialist, dotnet-performance-analyst, dotnet-benchmark-designer, akka-net-specialist, docfx-specialist
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.
- 12d ago First seen · 120 lines · 40 tokens per session scan A be34ea96e0a2
skills-index-snippets is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 1,068 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to skills-index-snippets, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
plan-validate
Deterministic plan.json validation via Python script, replacing most plan-validator agent calls. Performs JSON parsing, schema validation, task checkbox regex, required section checks, sync validation, and data extraction. Only semantic consistency checks (storage/query alignment) require the LLM agent. Triggers on…
opik-optimizer
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
graincrawl
Maintain, verify, and release graincrawl, the local-first Granola archive CLI, including SQLite archive behavior, read-only Granola source boundaries, Homebrew tap packaging, and crawlkit-powered TUI/snapshot surfaces.
code-review
Review ServiceNow server-side scripts for ES5 violations, ACL/injection/XSS issues, N+1 queries, missing setLimit/error handling, hard-coded sysids, and business-rule recursion risks.
seo
Audits and fixes technical SEO, researches search demand, creates content briefs, and measures SEO/AEO performance. Use when asked to "audit SEO", "fix indexing", "improve AI visibility", "check keyword volume", "write an SEO brief", or "why did organic traffic drop". For writing the article use ghostwriter; for…