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 aliengiraffe/vigilante --skill vigilante-issue-implementation-on-pythongit clone --depth 1 https://github.com/aliengiraffe/vigilanteWrote 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/aliengiraffe/vigilante/vigilante-issue-implementation-on-python)<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-python"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-python/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/aliengiraffe/vigilante/vigilante-issue-implementation-on-python"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
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 →
- low Excessive Agency · line 17 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00036 | $0.00714 |
| Opus 5.5 | $0.00014 | $0.00286 |
| Sonnet 5.5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
vigilante-issue-implementation-on-python 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 1mo 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vigilante Python Issue Implementation
Focus
- Read the prompt for detected tech stacks, process hints, and Python security guidance before changing code.
- Follow idiomatic Python conventions already established by the repository and keep changes scoped to the issue.
- Prefer the repository's existing environment, dependency, formatting, linting, typing, and test workflows over inventing a new stack.
Python Tooling Workflow
- Environment: use the repository's documented bootstrap or environment workflow first. When no repo-specific workflow exists, prefer isolated environments such as
venvrather than ad hoc global installs. - Formatting and linting: run the repository's established formatter and linter for touched files. When the repository already uses Ruff, prefer
ruff formatandruff check; when it uses Black, useblack. Do not introduce repo-wide formatting churn unrelated to the issue. - Typing: run the repository's existing typing checks when present, such as
mypy, pyright-style tooling, or equivalent configured commands. - Testing: run targeted
pytestor repo-standard test commands for the changed area first, then broaden scope when needed. - Dependency and package security: when dependency or packaging changes are involved, run repo-standard audit tooling. Use
pip-auditwhen it is already part of the repo workflow or otherwise clearly available and relevant. - Dependencies: prefer standard library modules when they cover the need. Keep dependency manifests and lockfiles consistent when adding or updating packages.
Idiomatic Python
- Follow existing project conventions for layout, imports, and naming instead of forcing a new style.
- Prefer small, explicit functions, early returns, and straightforward exception handling.
- Add or update docstrings only where the repository already expects them or where a public API change needs clear documentation.
- Avoid broad cleanup or modernization unrelated to the issue.
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.
- 1mo ago First seen · 42 lines · 36 tokens per session scan A 91e6e4e7d0d8
vigilante-issue-implementation-on-python is a skill published in the GitHub repository aliengiraffe/vigilante (40 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 714 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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