Borrowing it
Nothing to install: this file belongs to HumanBean17/jrag. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HumanBean17/jrag/master/.claude/skills/finishing-a-development-branch/SKILL.mdgit clone --depth 1 https://github.com/HumanBean17/jragWrote 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/humanbean17/jrag/finishing-a-development-branch)<a href="https://agentmods.dev/skills/humanbean17/jrag/finishing-a-development-branch"><img src="https://agentmods.dev/badge/skills/humanbean17/jrag/finishing-a-development-branch/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/humanbean17/jrag/finishing-a-development-branch"><img src="https://agentmods.dev/badge/skills/humanbean17/jrag/finishing-a-development-branch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Excessive Agency · line 234 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 243 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00044 | $0.02042 |
| Opus 5 | $0.00022 | $0.01021 |
| Sonnet 5 | $0.00009 | $0.00408 |
| Haiku 4.5 | $0.00004 | $0.00204 |
Grade A, and why
finishing-a-development-branch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finishing a Development Branch
Overview
Guide completion of development work by presenting clear options and handling chosen workflow.
Core principle: Verify tests → Detect environment → Present options → Execute choice → Archive released specs/plans → Clean up.
Announce at start: "I'm using the finishing-a-development-branch skill to complete this work."
The Process
Step 1: Verify Tests
Before presenting options, verify tests pass:
# Run project's test suite
npm test / cargo test / pytest / go test ./...
If tests fail:
Tests failing (<N> failures). Must fix before completing:
[Show failures]
Cannot proceed with merge/PR until tests pass.
Stop. Don't proceed to Step 2.
If tests pass: Continue to Step 2.
Step 2: Detect Environment
Determine workspace state before presenting options:
GIT_DIR=$(cd "$(git rev-parse --git-dir)" 2>/dev/null && pwd -P)
GIT_COMMON=$(cd "$(git rev-parse --git-common-dir)" 2>/dev/null && pwd -P)
This determines which menu to show and how cleanup works:
| State | Menu | Cleanup |
|---|---|---|
GIT_DIR == GIT_COMMON (normal repo) |
Standard 4 options | No worktree to clean up |
GIT_DIR != GIT_COMMON, named branch |
Standard 4 options | Provenance-based (see Step 6) |
GIT_DIR != GIT_COMMON, detached HEAD |
Reduced 3 options (no merge) | No cleanup (externally managed) |
Step 3: Determine Base Branch
# Try common base branches
git merge-base HEAD main 2>/dev/null || git merge-base HEAD master 2>/dev/null
Or ask: "This branch split from main - is that correct?"
Step 4: Present Options
Normal repo and named-branch worktree — present exactly these 4 options:
Implementation complete. What would you like to do?
1. Merge back to <base-branch> locally
2. Push and create a Pull Request
3. Keep the branch as-is (I'll handle it later)
4. Discard this work
Which option?
Detached HEAD — present exactly these 3 options:
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.
- 9d ago First seen · 257 lines · 44 tokens per session scan A b98f2e02f96b
finishing-a-development-branch is a skill published in the GitHub repository HumanBean17/jrag (9 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 2,042 once invoked, about $0.0002 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 2026-08-31.
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