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/nikiforovall/claude-code-rules/glabnpx skills add NikiforovAll/claude-code-rules --skill glabgit clone --depth 1 https://github.com/NikiforovAll/claude-code-rulesWrote 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/nikiforovall/claude-code-rules/glab)<a href="https://agentmods.dev/skills/nikiforovall/claude-code-rules/glab"><img src="https://agentmods.dev/badge/skills/nikiforovall/claude-code-rules/glab.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 | $0.00059 | $0.02327 |
| Opus 5 | $0.00030 | $0.01163 |
| Sonnet 5 | $0.00012 | $0.00465 |
| Haiku 4.5 | $0.00006 | $0.00233 |
Grade A, and why
glab 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.
How it starts
The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitLab CLI (glab) Skill
Provides guidance for using glab, the official GitLab CLI, to perform GitLab operations from the terminal.
When to Use This Skill
Invoke when the user needs to:
- Create, review, or manage merge requests
- Work with GitLab issues
- Monitor or trigger CI/CD pipelines
- Clone or manage repositories
- Perform any GitLab operation from the command line
Prerequisites
Verify glab installation before executing commands:
glab --version
If not installed, inform the user and provide platform-specific installation guidance.
Authentication Quick Start
Most glab operations require authentication:
# Interactive authentication
glab auth login
# Check authentication status
glab auth status
# For self-hosted GitLab
glab auth login --hostname gitlab.example.org
# Using environment variables
export GITLAB_TOKEN=your-token
export GITLAB_HOST=gitlab.example.org # for self-hosted
Core Workflows
Creating a Merge Request
# 1. Ensure branch is pushed
git push -u origin feature-branch
# 2. Create MR
glab mr create --title "Add feature" --description "Implements X"
# With reviewers and labels
glab mr create --title "Fix bug" --reviewer=alice,bob --label="bug,urgent"
Reviewing Merge Requests
# 1. List MRs awaiting your review
glab mr list --reviewer=@me
# 2. Checkout MR locally to test
glab mr checkout <mr-number>
# 3. After testing, approve
glab mr approve <mr-number>
# 4. Add a general comment
glab mr note <mr-number> -m "Please update tests"
Posting Inline DiffNote Comments
To anchor a comment to a specific line in the diff (a DiffNote), you must use a JSON body with the Content-Type: application/json header. Using -F form fields will create an unanchored DiscussionNote.
# Get SHA values from the MR
glab mr view <id> --output=json | grep -oP '"(base_sha|head_sha|start_sha)":\s*"\K[0-9a-f]{40}'
# Post a DiffNote on a new line
glab api --method POST "projects/:id/merge_requests/:iid/discussions" \
-H "Content-Type: application/json" \
--input - <<'JSONEOF'
{
"body": "Your review comment here",
"position": {
"base_sha": "<base_sha>",
"start_sha": "<start_sha>",
"head_sha": "<head_sha>",
"position_type": "text",
"new_path": "path/to/file.js",
"new_line": 42
}
}
JSONEOF
What ships with it
3 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.
- 4d ago First seen · 284 lines · 59 tokens per session scan A 5f34d4883494
glab is a skill published in the GitHub repository NikiforovAll/claude-code-rules (141 stars, last pushed 5d ago), licensed Apache-2.0. It adds 59 tokens to every session and 2,327 once invoked, about $0.0003 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.
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