Borrowing it
Nothing to install: this file belongs to anton-abyzov/vskill. 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/anton-abyzov/vskill/main/.claude/skills/stub-skill-76f6713e/SKILL.mdgit clone --depth 1 https://github.com/anton-abyzov/vskillWrote 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/anton-abyzov/vskill/stub-skill-76f6713e)<a href="https://agentmods.dev/skills/anton-abyzov/vskill/stub-skill-76f6713e"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/stub-skill-76f6713e/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/anton-abyzov/vskill/stub-skill-76f6713e"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/stub-skill-76f6713e.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 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00041 | $0.00103 |
| Opus 5 | $0.00020 | $0.00051 |
| Sonnet 5 | $0.00008 | $0.00021 |
| Haiku 4.5 | $0.00004 | $0.00010 |
Grade A, and why
stub-skill-76f6713e 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 11d 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
stub-skill-76f6713e
Deterministic stub output for content address 76f6713e.
Output the line: hello from stub-skill-76f6713e.
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.
- 11d ago First seen · 12 lines · 41 tokens per session scan A 144b95aab8c4
stub-skill-76f6713e is a skill published in the GitHub repository anton-abyzov/vskill (45 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 103 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 2026-08-30.
Other skills, from other repositories
prereview
Review the current diff against this team's conventions and invariants before it ships. Invoke with /prereview before opening a PR, or run as a pre-push gate.
agent-config-setup
Generate AI agent config files for any project — Cursor, Claude Code, Copilot, Windsurf, Cline, AGENTS.md. Use when setting up a new project for AI agents.
optimize-skill-loop
Deterministic outer-loop optimizer for a skill that already carries a frozen eval (produced upstream by an eval source such as create-skill-eval). Runs the frozen eval across user-chosen agents on fresh headless sessions via a pluggable adapter, grades quality/cost/perf, keeps the pareto-best variant, and versions…
create-skill-eval
Author a frozen, graded eval harness for ONE inner skill and freeze it inside that skill as a conformant eval/ directory (scenarios + deterministic evaluator + rubric + fixtures + HARNESS.md manifest). The eval content is skill-specific; this skill is the reusable methodology that produces it. Its output is consumed…
onboard-skills
Discovers and installs agent skills into a project (or the user-global lane) with the qvr CLI, where qvr.toml declares intent and qvr.lock is the resolved source of truth for what loads. Use when a user wants to find, add, register, or install skills from a skills registry or GitHub repo with qvr — e.g. "register a…
reproduce-skill-env
Reproduces an exact agent-skill set across machines, teammates, and CI using qvr's portable manifest and lockfile guarantees. Use when a user wants to share, pin, replicate, or CI-gate their qvr skills — e.g. "export my skills", "import this skill manifest", "pin everything to exact commits", "make skills…