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 ulises-jeremias/agent-toolkit --skill codeqlgit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/codeql)<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/codeql"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/codeql/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/ulises-jeremias/agent-toolkit/codeql"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/codeql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 MCP Rug Pull · line 89 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00052 | $0.02557 |
| Opus 5.5 | $0.00021 | $0.01023 |
| Sonnet 5.5 | $0.00010 | $0.00511 |
| Haiku 4.5 | $0.00005 | $0.00256 |
Grade A, and why
codeql 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeQL — Operational Security Analysis Workflow
Help coding agents operate CodeQL, not just explain syntax. Covers discovery of existing setup, config review, scan execution/inspection, SARIF triage with evidence discipline, remediation, and targeted re-validation.
Sources: GitHub Docs Code Scanning with CodeQL (2026-08-12, https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/about-code-scanning-with-codeql), CodeQL CLI (
github/codeqlMIT, CLI binaries separate),github/codeql-action(https://github.com/github/codeql-action), and this repo's.github/workflows/codeql.yml(Analyze Python viacodeql-action/init@v4+analyze@v4).
Relationship to MegaLinter:
- MegaLinter: broad linting/formatting/static quality orchestration (50+ linters, Docker-based,
.mega-linter.yml, fast feedback on style, config, IaC). - CodeQL: semantic security analysis / dataflow / vulnerability classes (source→sink taint, e.g.,
python/sql-injection,js/xss, SARIF alerts). - Neither replaces the other. Composition:
code-quality / secure-delivery → { MegaLinter, CodeQL }without a giant orchestrator.
When to use
- Repo has or needs CodeQL code scanning (
.github/workflows/codeql.yml,codeql-action, SARIF alerts) - Need to triage a CodeQL alert (security tab, SARIF file, CI log) with evidence
- Need to fix a finding and re-validate
- Workflow failing (timeout, OOM, build failure for compiled languages, config error)
- Need custom query / query-pack guidance (when to write vs reuse)
Modes (one skill, contextual)
| Mode | Trigger | What it does |
|---|---|---|
| SETUP / CONFIG REVIEW | No CodeQL workflow, or outdated codeql-action version, or new language to add |
Inspect .github/workflows/codeql.yml, languages:, queries:, paths:, paths-ignore:, schedule, permissions (security-events: write); recommend init@v4/analyze@v4 (or codeql-action latest), language matrix, build-mode for compiled (manual/autobuild/none) |
| FINDING TRIAGE | SARIF file, alert URL, or Run CodeQL log with failure |
Parse SARIF (runs[].tool.driver.rules[], runs[].results[]), map ruleId → query help, extract locations[0].physicalLocation, codeFlows (source→sink), message.text, level/category, partialFingerprints; produce evidence table |
| REMEDIATION | Triaged finding with fix needed | Propose minimal fix (sanitize, parameterized query, escape), show diff, reference query docs, note confidence/severity, and how to suppress via // lgtm[…] or codeql-config.yml only when justified (ask before suppress) |
| WORKFLOW TROUBLESHOOTING | analyze job failed, no alerts, or out of memory |
Check codeql-action logs, AUTOBUILD vs manual build, ram: / threads:, debug: true, upload-sarif fallback, category duplication |
| CUSTOM QUERY | Need to detect a repo-specific pattern beyond standard packs | Guide when to reuse security-and-quality vs security-extended vs write custom QL (pack codeql/<lang>-queries), use codeql pack create + codeql query run locally, test with codeql test run |
What ships with it
1 file 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.
- 1mo ago First seen · 107 lines · 52 tokens per session scan A cad085cedc79
codeql is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 2,557 once invoked, about $0.0002 per session on Opus 5.5. 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.
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Iterate a PR to its final form by running two opposing reviewer droids (reviewer-robustness and reviewer-minimalist) in a bounded back-and-forth loop. The main orchestrator synthesizes their feedback, makes edits, runs tests, and stops when both approve, on stagnation, or after 3 rounds. Use when the user asks to…
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