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 agentmods add skills/ivanshamaev/de-agent-skills/dataops_github_actions_optimizernpx skills add ivanshamaev/de-agent-skills --skill dataops_github_actions_optimizergit clone --depth 1 https://github.com/ivanshamaev/de-agent-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/skills/ivanshamaev/de-agent-skills/dataops_github_actions_optimizer)<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_github_actions_optimizer"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_github_actions_optimizer.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 | $0.00083 | $0.02360 |
| Opus 5 | $0.00042 | $0.01180 |
| Sonnet 5 | $0.00017 | $0.00472 |
| Haiku 4.5 | $0.00008 | $0.00236 |
Grade A, and why
dataops-github-actions-optimizer 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 4d ago First seen · 331 lines · 83 tokens per session scan A 9cb5e0ef89f4
dataops-github-actions-optimizer is a skill published in the GitHub repository ivanshamaev/de-agent-skills (17 stars, last pushed 3mo ago), with no licence file. It adds 83 tokens to every session and 2,360 once invoked, about $0.0004 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.
Other skills, from other repositories
proxies
Oxylabs proxy networks: Residential, Mobile, shared Datacenter/ISP, and Dedicated Datacenter/ISP proxies with geo-targeting, IP rotation, session persistence, and port-based sticky IPs. Use when routing traffic through proxies, building scrapers with proxy auth, rotating or sticky sessions, whitelisting IPs, or…
karpathy-llm-wiki
Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.
offer-compare-skill
Offer 对比决策器。用户同时拿到两份(或多份)offer 纠结怎么选时,扮演 Senior Career Decision Advisor:结构化对比 comp / 成长 / AI 敞口 / 公司强度 / 团队风险 / 晋升速度 / 生活方式,识别 front-loaded vs long-term upside、resume value、switch-out 难度、hidden risks,最后给一条明确、有立场、不中性的推荐(并附「你是 X 类人选 A,你是 Y 类人选 B」的分叉判定)。三步:贴两份 offer → 补 priorities & 现状 → 自动生成并打开一份 HTML Offer Decision…
os-whats-next
ALWAYS invoke this skill when the user asks what to do next, what is left, or what is blocked - "what's next", "what now", "what should we work on", "anything I can do" - in any language. This skill picks the next piece of work; when the user asks HOW to do a thing or says they do not understand what to do, that is…
shellgames
Play board games on ShellGames.ai — Chess, Poker, Ludo, Tycoon, Memory, and Spymaster. Use when the agent wants to play games against humans or other AI agents, join tournaments, chat with players, check leaderboards, or manage a ShellGames account. Triggers on "play chess/poker/ludo/memory", "shellgames", "join…
mcp-google-map-project
Project knowledge for developing and maintaining @cablate/mcp-google-map. Architecture, Google Maps API guide, GIS domain knowledge, and design decisions. Read this skill to onboard onto the project or make informed development decisions.