Kubernetes Network Root Cause Analysis
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki.
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install c0x12c/ai-toolkit ops-oncall-log --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .claude/skills/ops-oncall-log && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .claude/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-logType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install c0x12c/ai-toolkit ops-oncall-log --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .agents/skills/ops-oncall-log && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .agents/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install c0x12c/ai-toolkit ops-oncall-log --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .cursor/skills/ops-oncall-log && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .cursor/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/c0x12c/ai-toolkit.git --path toolkit/skills/ops-oncall-log--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install c0x12c/ai-toolkit ops-oncall-log --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .gemini/skills/ops-oncall-log && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .gemini/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install c0x12c/ai-toolkit ops-oncall-logInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .github/skills/ops-oncall-log && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .github/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install c0x12c/ai-toolkit ops-oncall-log --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/c0x12c/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/toolkit/skills/ops-oncall-log .opencode/skills/ops-oncall-log && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ops-oncall-log" agent skill from https://github.com/c0x12c/ai-toolkit/tree/master/toolkit/skills/ops-oncall-log into .opencode/skills/ops-oncall-log/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ops-oncall-log", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ops-oncall-logCreate a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki.
Ops Oncall Log is an agent skill from c0x12c/ai-toolkit. Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Requires a monitoring MCP (recommended: Datadog) and a wiki MCP (Confluence or Notion).
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `examples.md`).
It sits in DevOps & Cloud, covering Incident response and MCP servers. It works with Model Context Protocol, Notion, Confluence and Datadog.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 96b2c9d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ops Oncall Log loads about 1.8k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 909 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 909 words (~1,794 tokens).
“Pull alerts from your monitoring platform and create a structured on-call log on your team's wiki.”
SKILL.md and 1 other file in toolkit/skills/ops-oncall-log of c0x12c/ai-toolkit.
Open the folder on GitHubat commit 96b2c9d
Ops Oncall Log next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ops Oncall Log this skillc0x12c/ai-toolkit | 106 | — | ~1.8k | Automated safety check: Pass | None | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent Observability Eval Bootstrapdatadog-labs/agent-skills | 177 | — | ~25k | Automated safety check: Pass | MIT | |
| Docs Tooling Notionlangchain-ai/docs | 426 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Forensifyalexgreensh/repo-forensics | 188 | — | ~2.5k | Automated safety check: Notes | Custom licence |
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
datadog-labs/agent-skills
Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit…
langchain-ai/docs
Document new or changed docs-team tooling on the Notion tooling pages.
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
alexgreensh/repo-forensics
Cross-agent self-inspection of your AI-agent stack. An agent skill from alexgreensh/repo-forensics.
speakeasy-api/gram
Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Speakeasy project.
c0x12c/ai-toolkit
UI/UX design intelligence with searchable style, palette, typography, and chart databases.
c0x12c/ai-toolkit
Creates RPC-style endpoint following layered architecture (Controller → Manager → Repository).
c0x12c/ai-toolkit
Design RPC-style APIs with layered architecture (Controller → Manager → Repository).
c0x12c/ai-toolkit
CI/CD pipeline patterns for GitHub Actions, PR automation, and deployment workflows.
c0x12c/ai-toolkit
Turn one idea into platform-native content for X, LinkedIn, TikTok, YouTube, newsletters.
c0x12c/ai-toolkit
Creates database table with full Kotlin synchronization (SQL migration → Table → Entity → Repository → Tests).
Categories
Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Ops Oncall Log is an agent skill from c0x12c/ai-toolkit. Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki.
Ops Oncall Log fits situations like: tasks that involve Incident response; tasks that involve MCP servers.
Run `npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a claude-code`. Or copy the skill folder (toolkit/skills/ops-oncall-log in c0x12c/ai-toolkit) into .claude/skills/ops-oncall-log in your project. Claude Code loads it when a task matches its description.
Run `npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a codex`. Or copy the skill folder (toolkit/skills/ops-oncall-log in c0x12c/ai-toolkit) into .agents/skills/ops-oncall-log in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add c0x12c/ai-toolkit --skill ops-oncall-log -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ops-oncall-log, .gemini/skills/ops-oncall-log, .github/skills/ops-oncall-log and .opencode/skills/ops-oncall-log in your project.
SKILL.md names no scripts, command-line tools or credentials: Ops Oncall Log is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Ops Oncall Log or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ops Oncall Log: Kubernetes Network Root Cause Analysis (kubeshark/kubeshark, 12k stars), Agent Observability Eval Bootstrap (datadog-labs/agent-skills, 177 stars), Docs Tooling Notion (langchain-ai/docs, 426 stars) and Code Design Rationale Investigator (cursor/plugins, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
c0x12c (a GitHub organization) maintains it in c0x12c/ai-toolkit, which has 106 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on June 18, 2026.
Source: c0x12c/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.