Borrowing it
Nothing to install: this file belongs to Insight-Services-APAC/ingenious. 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/Insight-Services-APAC/ingenious/main/.claude/commands/quality/py-quality/vulture.mdgit clone --depth 1 https://github.com/Insight-Services-APAC/ingeniousWrote 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/commands/insight-services-apac/ingenious/vulture)<a href="https://agentmods.dev/commands/insight-services-apac/ingenious/vulture"><img src="https://agentmods.dev/badge/commands/insight-services-apac/ingenious/vulture.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 5.1 | $0.00000 | $0.00253 |
| Opus 5 | $0.00000 | $0.00127 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
vulture 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
Find and Remove Dead Code with Vulture
Use uv run vulture . --exclude .venv to analyze this codebase for dead or unused code. For each item detected:
-
Thoroughly and intensively verify whether the code is truly unused or unreachable. Cross-check:
- All internal references across the codebase (including dynamically referenced or imported code)
- Any usage from entry points, config-based registries, decorators, metaprogramming, etc.
- References via reflection, eval, exec, string-based access (e.g., getattr, globals)
-
If you are absolutely certain the code is unused, safely remove it.
-
Run all tests to ensure nothing breaks after removal:
uv run pytest -
After each successful removal and test pass, create a separate Git commit with a clear message, such as:
git add . git commit -m "chore(cleanup): remove unused function <function_name> as detected by vulture"
Repeat this process for all remaining vulture reports. Do not batch deletions—handle one item at a time to maintain traceability and safety.
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 · 24 lines · 0 tokens per session scan A 88fb085c9d4b
vulture is a command published in the GitHub repository Insight-Services-APAC/ingenious (24 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 253 tokens. 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 2026-09-04.
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