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 akin-ozer/cc-devops-skills --skill logql-generatorgit clone --depth 1 https://github.com/akin-ozer/cc-devops-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/akin-ozer/cc-devops-skills/logql-generator)<a href="https://agentmods.dev/skills/akin-ozer/cc-devops-skills/logql-generator"><img src="https://agentmods.dev/badge/skills/akin-ozer/cc-devops-skills/logql-generator.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00025 | $0.03955 |
| Opus 5 | $0.00013 | $0.01978 |
| Sonnet 5 | $0.00005 | $0.00791 |
| Haiku 4.5 | $0.00003 | $0.00396 |
Grade A, and why
logql-generator 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 8d 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 — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LogQL Query Generator
Overview
Interactive workflow for generating production-ready LogQL queries. LogQL is Grafana Loki's query language with indexed label selection, line filtering, parsing, and metric aggregation.
Trigger Hints
- "Write a LogQL query for error rate by service."
- "Help me build a Loki alert query."
- "Convert this troubleshooting requirement into LogQL."
- "I need step-by-step LogQL query construction."
Use this skill for query generation, dashboard queries, alerting expressions, and troubleshooting with Loki logs.
Execution Flow (Deterministic)
Always run stages in order. Do not skip required stages.
Stage 1 (Required): Capture Intent
Use AskUserQuestion to collect goal and use case.
Template:
- "What is your primary goal: debugging, alerting, dashboard metric, or investigation?"
- "Do you need a log query (raw lines) or a metric query (numeric output)?"
- "What time window should this cover (example: last 15m, 1h, 24h)?"
Fallback if AskUserQuestion is unavailable:
- Ask the same questions in plain text and continue.
Stage 2 (Required): Capture Log Source Details
Collect:
- Labels for stream selectors (
job,namespace,app,service_name,cluster) - Log format (JSON, logfmt, plain text, mixed)
- Known fields to filter/aggregate (
status,level,duration,path,trace_id)
Ambiguity and partial-answer handling:
- If a required field is missing, ask one focused follow-up question.
- If still missing, proceed with explicit assumptions.
- Prefix assumptions with
Assumptions:in the output so the user can correct them quickly.
Stage 3 (Required): Discover Loki and Grafana Versions
Collect or infer:
- Loki version (example:
2.9.x,3.0+, unknown) - Grafana version (example:
10.x,11.x, unknown) - Deployment context (self-hosted Loki, Grafana Cloud, unknown)
Version compatibility policy:
- If versions are known, use the newest compatible syntax only.
- If versions are unknown, use compatibility-first syntax and avoid 3.x-only features by default.
- For unknown versions, provide an optional "3.x optimized variant" separately.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 445 lines · 25 tokens per session scan A 7f2c47a47624
logql-generator is a skill published in the GitHub repository akin-ozer/cc-devops-skills (306 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 3,955 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…