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 skills add ArabelaTso/Skills-4-SE --skill szz-bug-identifiergit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/szz-bug-identifier)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/szz-bug-identifier"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/szz-bug-identifier/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/szz-bug-identifier"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/szz-bug-identifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00121 | $0.01365 |
| Opus 5 | $0.00060 | $0.00682 |
| Sonnet 5 | $0.00024 | $0.00273 |
| Haiku 4.5 | $0.00012 | $0.00136 |
Grade A, and why
szz-bug-introducing-commit-identifier 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 8d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SZZ Bug-Introducing Commit Identifier
Overview
This skill performs SZZ (Śliwerski-Zimmermann-Zeller) algorithm analysis to identify bug-introducing commits in git repositories. Given a bug-fixing commit, it traces modified lines back through version history using git blame to find candidate commits that originally introduced the buggy code.
Workflow
1. Identify the Bug-Fixing Commit
Start by identifying the commit that fixes the bug. This can be obtained from:
- Commit hash provided by the user
- Issue tracker references (e.g., "fixes #123")
- Commit message analysis (e.g., "fix:", "bug:")
- Manual identification by the user
2. Run the SZZ Analysis
Use the provided script to perform the analysis:
python scripts/szz_analyzer.py <fix-commit-hash>
Options:
--repo <path>: Specify repository path (default: current directory)--json: Output results in JSON format for programmatic processing--top <n>: Number of top candidates to show (default: 10)
Example:
python scripts/szz_analyzer.py abc123def --repo /path/to/repo --top 5
3. Interpret Results
The script outputs a ranked list of candidate bug-introducing commits with:
- Commit hash: The candidate commit identifier
- Author: Who made the commit
- Date: When the commit was made
- Message: The commit message
- Confidence score: Likelihood this commit introduced the bug (0.0-1.0)
- Reasons: Explanation for why this commit is a candidate
4. Manual Verification
Always manually review the top candidates:
- Examine the actual code changes in the candidate commit
- Check if the changes are functionally related to the bug
- Consider the context and purpose of the changes
- Verify against issue tracker history if available
Understanding Confidence Scores
High Confidence (0.8-1.0):
- Multiple lines from the commit were fixed
- Commit message doesn't suggest refactoring
- Functional code changes (not just formatting)
What ships with it
2 files 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.
- 8d ago First seen · 183 lines · 121 tokens per session scan A 111025974e9e
szz-bug-introducing-commit-identifier is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 22d ago), licensed Apache-2.0. It adds 121 tokens to every session and 1,365 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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