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/lobstertrap/lola/quick-commitgit clone --depth 1 https://github.com/LobsterTrap/lolaWhat 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 | $0.00009 | $0.00288 |
| Opus 5 | $0.00005 | $0.00144 |
| Sonnet 5 | $0.00002 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
quick-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
Create a git commit for the current staged changes.
User-provided arguments
$ARGUMENTS
Instructions
-
Run
git diff --stagedto see what will be committed -
If there are no staged changes, inform the user and stop
-
Analyze the changes and determine the appropriate commit type:
- feat: A new feature
- fix: A bug fix
- docs: Documentation only changes
- style: Code style changes (formatting, etc.)
- refactor: Code change that neither fixes a bug nor adds a feature
- test: Adding or updating tests
- chore: Maintenance tasks
-
Check the user-provided arguments above:
- If a type was provided (e.g., "feat", "fix"), use it
- If a scope was also provided (e.g., "feat api"), use both
- If empty or not provided, infer the type from the changes
-
Generate a concise commit message following the Conventional Commits format:
<type>(<scope>): <description>Omit the scope if not applicable.
-
Show the proposed commit message and ask for confirmation before committing
-
Run the commit with the approved message
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 · 38 lines · 9 tokens per session scan A bf527c9226ed
quick-commit is a command published in the GitHub repository LobsterTrap/lola (121 stars, last pushed 5d ago), licensed Apache-2.0. It adds 9 tokens to every session and 288 once invoked, about $0.0000 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.
Other commands, from other repositories
edit-searchable
Add plugins to, or remove them from, the zero-token searchable tier.
guide
Skill navigator -- explains all installed skills and slash commands in your language. Usage: /guide (overview), /guide (deep dive), /guide (recommendation), /guide --check (dependency check), /guide --diff (compare with a skill pack).
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.