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/rlajous/claude-code-commands/finishnpx skills add rlajous/claude-code-commands --skill finishgit clone --depth 1 https://github.com/rlajous/claude-code-commandsWrote 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/rlajous/claude-code-commands/finish)<a href="https://agentmods.dev/skills/rlajous/claude-code-commands/finish"><img src="https://agentmods.dev/badge/skills/rlajous/claude-code-commands/finish.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 | $0.00013 | $0.02754 |
| Opus 5 | $0.00006 | $0.01377 |
| Sonnet 5 | $0.00003 | $0.00551 |
| Haiku 4.5 | $0.00001 | $0.00275 |
Grade A, and why
finish scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
{If API endpoint, include curl example:} How it starts
The opening of the file, as written. The whole thing — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-runtime: follow runtime compatibility for invocation, delegation, configuration precedence, state paths, and permissions.
You are helping create a pull request with a comprehensive description. Your task is to gather information, generate the PR description, push the branch, and create the PR using project conventions.
Step 1: Load Configuration
Check for configuration and context:
# Check for config and context files
if [ -f ".git-workflow/config.yaml" ]; then CONFIG_PATH=".git-workflow/config.yaml"; elif [ -f ".claude/config.yaml" ]; then CONFIG_PATH=".claude/config.yaml"; else CONFIG_PATH=""; fi
if [ -f ".git-workflow/pr-context.json" ]; then CONTEXT_PATH=".git-workflow/pr-context.json"; elif [ -f ".claude/.pr-context.json" ]; then CONTEXT_PATH=".claude/.pr-context.json"; else CONTEXT_PATH=""; fi
# Get current branch
git branch --show-current
Load from the resolved CONFIG_PATH (canonical first, legacy read-only fallback):
workflow:
developmentBranch: staging
productionBranch: main
pullRequests:
targetBranch: staging
reviewers: []
labels: []
issueTracker:
type: auto
Load from the resolved CONTEXT_PATH (canonical first, legacy read-only fallback):
{
"ticket_id": "PROJ-1234",
"ticket_url": "https://...",
"ticket_title": "Ticket title",
"branch": "fix/proj-1234-description",
"type": "fix",
"description": "Short description"
}
Default Values (when no config):
pullRequests:
targetBranch: staging
reviewers: []
labels: []
If context file is missing or incomplete:
- Inform the user they should run
/startand/commitfirst - Ask for missing information (ticket ID, branch name)
If the context contains a branch value that does not match the current branch, treat it as stale, explain which file was ignored, and gather fresh context. Do not silently reuse context from another branch.
Step 2: Verify State
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 · 487 lines · 13 tokens per session scan A fa1691fe477d
finish is a skill published in the GitHub repository rlajous/claude-code-commands (30 stars, last pushed 5d ago), licensed MIT. It adds 13 tokens to every session and 2,754 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…