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 commands/kasarlabs/cairo-coder/commitgit clone --depth 1 https://github.com/KasarLabs/cairo-coderWhat 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 | $0.00000 | $0.00414 |
| Opus 5 | $0.00000 | $0.00207 |
| Sonnet 5 | $0.00000 | $0.00083 |
| Haiku 4.5 | $0.00000 | $0.00041 |
Grade A, and why
commit 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 2d 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.
What it actually says
Smart Git Commit
I'll analyze your changes and create a meaningful commit message.
First, let me check what's changed:
# Check if we have changes to commit
if ! git diff --cached --quiet || ! git diff --quiet; then
echo "Changes detected:"
git status --short
else
echo "No changes to commit"
exit 0
fi
# Show detailed changes
git diff --cached --stat
git diff --stat
Now I'll analyze the changes to determine:
- What files were modified
- The nature of changes (feature, fix, refactor, etc.)
- The scope/component affected
If the analysis or commit encounters errors:
- I'll explain what went wrong
- Suggest how to resolve it
- Ensure no partial commits occur
# If nothing is staged, I'll stage modified files (not untracked)
if git diff --cached --quiet; then
echo "No files staged. Staging modified files..."
git add -u
fi
# Show what will be committed
git diff --cached --name-status
Based on the analysis, I'll create a conventional commit message:
- Type: feat|fix|docs|style|refactor|test|chore
- Scope: component or area affected (optional)
- Subject: clear description in present tense
- Body: why the change was made (if needed)
I will not add myself as co-author of the commit.
Before committing, I'll run the trunk check --fix command to ensure that the
code is formatted correctly. If there are any errors, I'll ask the you to fix
them manually.
# I'll create the commit with the analyzed message
# Example: git commit -m "fix(compiler): fix missing edge case in parser"
The commit message will be concise, meaningful, and follow your project's conventions if I can detect them from recent commits.
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.
- 2d ago First seen · 65 lines · 0 tokens per session scan A c61dd891c915
commit is a command published in the GitHub repository KasarLabs/cairo-coder (40 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 414 tokens. 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.