Issue Writer
NVIDIA/container-canary
Draft and revise concise, human-focused GitHub issues for pytest-kind-ng.
Work with CodeQL in Kibana — write, test, and debug custom queries locally, fetch scan results from GitHub, and validate inline suppression comments.
Install Codeql
$ npx skills add elastic/kibana --skill codeql -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install elastic/kibana codeql --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/elastic/kibana.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/codeql .claude/skills/codeql && 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 "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .claude/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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/elastic/kibana/tree/main/.agents/skills/codeqlType 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 elastic/kibana --skill codeql -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install elastic/kibana codeql --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/codeql .agents/skills/codeql && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .agents/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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 elastic/kibana --skill codeql -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install elastic/kibana codeql --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/codeql .cursor/skills/codeql && 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 "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .cursor/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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/elastic/kibana.git --path .agents/skills/codeql--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 elastic/kibana --skill codeql -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install elastic/kibana codeql --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/codeql .gemini/skills/codeql && 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 "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .gemini/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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 elastic/kibana codeqlInstalls 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 elastic/kibana --skill codeql -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/codeql .github/skills/codeql && 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 "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .github/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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 elastic/kibana --skill codeql -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install elastic/kibana codeql --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elastic/kibana.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/codeql .opencode/skills/codeql && 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 "codeql" agent skill from https://github.com/elastic/kibana/tree/main/.agents/skills/codeql into .opencode/skills/codeql/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codeql", 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.
Facts
- Skill name
codeql- GitHub stars
- 21k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 516 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 40
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Work with CodeQL in Kibana — write, test, and debug custom queries locally, fetch scan results from GitHub, and validate inline suppression comments.
- Works in 4 steps: Lists recent CodeQL analyses for the ref → Fetches full SARIF JSON (with rule… → Prints formatted results (rule,… → …
- Debugging CodeQL queries
- SKILL.md covers Project Layout, Running Queries Locally (Full…, Running CodeQL Unit Tests and Fetching Remote SARIF / Scan…, plus 4 more sections
- Runs JavaScript scripts from its folder; calls bash, node and brew; needs GITHUB_TOKEN
What it does
Codeql is an agent skill from elastic/kibana, published by the product's own GitHub organization. Work with CodeQL in Kibana — write, test, and debug custom queries locally, fetch scan results from GitHub, and validate inline suppression comments. Use when writing or debugging CodeQL queries, running CodeQL unit tests, analyzing SARIF results, fetching scan results, or checking codeql suppression justifications.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml`).
It sits in Security, covering Static analysis and SAST and Unit testing. It works with Elasticsearch, GitHub and Docker. The repository describes itself as: Your window into all of your data.
When your agent uses it
- Debugging CodeQL queries
- Running CodeQL unit tests
- Analyzing SARIF results
- Fetching scan results
Example prompts
- “/codeql”
Requirements
- Node.js
- Docker
- A credential in GITHUB_TOKEN
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Lists recent CodeQL analyses for the ref
- Fetches full SARIF JSON (with rule severity cross-referencing)
- Prints formatted results (rule, severity, message, file:line)
- Fetches code scanning alerts for the same ref
What it can do on your machine
Read from SKILL.md and the folder at commit ee7c86b. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
bashnodebrew
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
codeql.github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Codeql loads about 1.7k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 516 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 516 words (~1,741 tokens).
“Uses Docker to create a CodeQL database and run queries against real source code.”
- name
- codeql
- disable-model-invocation
- true
Files
SKILL.md and 2 other files (scripts) in .agents/skills/codeql of elastic/kibana.
- SKILL.md
- agents/openai.yaml
- scripts/fetch_sarif.mjs
Open the folder on GitHubat commit ee7c86b
Compare with similar skills
Codeql 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 |
|---|---|---|---|---|---|---|
| Codeql this skillelastic/kibana | 21k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Issue WriterNVIDIA/container-canary | 309 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Redamon Testingsamugit83/redamon | 3k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Kedro Security Reviewkedro-org/kedro | 11k | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| Pyspector Security AuditParzivalHack/PySpector | 151 | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | |
| SkepticRaoFoundation/subtensor | 389 | — | ~660 | Automated safety check: Pass | Apache-2.0 |
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Run a Kedro security scan on the full codebase or just a pull request.
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Run a full Python codebase security audit using PySpector (https://github.com/ParzivalHack/PySpector), a Rust-core SAST scanner.
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Run the security-focused Skeptic persona on the local working tree's diff against a base branch.
Kedro Plugins Security Review
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Run a security scan on the kedro-plugins codebase or a pull request.
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Related
Works with
Categories
Questions about Codeql
What does Codeql do?
Work with CodeQL in Kibana — write, test, and debug custom queries locally, fetch scan results from GitHub, and validate inline suppression comments. Codeql is an agent skill from elastic/kibana, published by the product's own GitHub organization. Work with CodeQL in Kibana — write, test, and debug custom queries locally, fetch scan results from GitHub, and validate inline suppression comments.
When should I use Codeql?
Codeql fits situations like: debugging CodeQL queries; running CodeQL unit tests; analyzing SARIF results; fetching scan results.
How do I install Codeql in Claude Code?
Run `npx skills add elastic/kibana --skill codeql -a claude-code`. Or copy the skill folder (.agents/skills/codeql in elastic/kibana) into .claude/skills/codeql in your project. Claude Code loads it when a task matches its description.
How do I install Codeql in Codex?
Run `npx skills add elastic/kibana --skill codeql -a codex`. Or copy the skill folder (.agents/skills/codeql in elastic/kibana) into .agents/skills/codeql in your project. Codex loads it when a task matches its description.
Can I use Codeql in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add elastic/kibana --skill codeql -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codeql, .gemini/skills/codeql, .github/skills/codeql and .opencode/skills/codeql in your project.
What does Codeql need to run?
Going by SKILL.md and its folder, Codeql needs JavaScript for the scripts in its folder, the command-line tools its instructions call (bash, node and brew) and credentials named GITHUB_TOKEN. Our summary lists: Node.js; Docker; A credential in GITHUB_TOKEN.
Does Codeql access the network?
SKILL.md names 1 domain. As links in the text: codeql.github.com. This is read from the text; nothing was executed.
Is Codeql safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Codeql use?
Codeql has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Codeql use?
About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Codeql?
Skills that share tags, products or a category with Codeql: Issue Writer (NVIDIA/container-canary, 309 stars), Redamon Testing (samugit83/redamon, 3k stars), Kedro Security Review (kedro-org/kedro, 11k stars) and Pyspector Security Audit (ParzivalHack/PySpector, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Codeql?
elastic (a GitHub organization, an official publisher) maintains it in elastic/kibana, which has 21,310 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 8, 2026.
Source: elastic/kibana on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.