Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEnpx agentmods add skills/arabelatso/skills-4-se/git-bisect-assistantWrote 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/arabelatso/skills-4-se/git-bisect-assistant)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/git-bisect-assistant"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/git-bisect-assistant/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/arabelatso/skills-4-se/git-bisect-assistant"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/git-bisect-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 3 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 | $0.00064 | $0.01148 |
| Opus 5 | $0.00032 | $0.00574 |
| Sonnet 5 | $0.00013 | $0.00230 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
git-bisect-assistant 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 5d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Bisect Assistant
Automates the git bisect process to efficiently identify the first bad commit responsible for a bug or test failure.
Quick Start
Basic usage pattern:
python scripts/git_bisect_runner.py \
--good <known-good-commit> \
--bad <known-bad-commit> \
--test "<test-command>"
Example:
python scripts/git_bisect_runner.py \
--good v1.0.0 \
--bad HEAD \
--test "pytest tests/test_feature.py::test_specific_case"
Workflow
-
Gather Information
- Identify the known good revision (commit, tag, or branch)
- Identify the known bad revision (defaults to HEAD)
- Determine the test command that fails on bad commits and passes on good commits
-
Run Bisect
- Execute the
git_bisect_runner.pyscript with appropriate parameters - The script will automatically test commits and narrow down the culprit
- Execute the
-
Review Results
- Examine the identified bad commit
- Review the bisect log showing all tested commits
- Check confidence level and assumptions
Parameters
Required
--good: Known good revision (commit hash, tag, or branch name)--test: Shell command to test each commit. Exit code 0 = good, non-zero = bad
Optional
--bad: Known bad revision (default:HEAD)--repo: Repository path (default: current directory)--retries: Number of test runs per commit for flaky tests (default: 1)--timeout: Test execution timeout in seconds (default: no timeout)
Handling Flaky Tests
For non-deterministic tests, use --retries to run the test multiple times per commit:
python scripts/git_bisect_runner.py \
--good abc123 \
--bad HEAD \
--test "npm test" \
--retries 3
The script uses majority voting: if a test passes 2 out of 3 times, the commit is marked as good.
Test Command Guidelines
The test command should:
- Exit with code 0 for good commits (test passes)
- Exit with non-zero code for bad commits (test fails)
- Be deterministic or use
--retriesfor flaky tests - Complete within reasonable time or use
--timeout
What ships with it
1 file 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.
- 5d ago First seen · 163 lines · 64 tokens per session scan A 0c83b77230fc
git-bisect-assistant is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (251 stars, last pushed 18d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,148 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 2026-09-03.
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