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 notque/vexjoy-agent --skill workflow-helpgit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/workflow-help)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/workflow-help"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/workflow-help/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/notque/vexjoy-agent/workflow-help"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/workflow-help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00018 | $0.02023 |
| Opus 5.5 | $0.00007 | $0.00809 |
| Sonnet 5.5 | $0.00004 | $0.00405 |
| Haiku 4.5 | $0.00002 | $0.00202 |
Grade A, and why
workflow-help 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 25d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Help Skill
Overview
This skill operates as an educational guide for repository workflows. It answers questions about how the agent/skill/routing architecture works, what tools and components are available, and when to use each workflow phase (brainstorm, plan, execute). The skill prioritizes accuracy over speed by reading actual SKILL.md and agent files rather than relying on memory.
Instructions
Phase 1: UNDERSTAND THE QUESTION
Goal: Determine exactly what the user wants to know about.
Parse the user's topic and $ARGUMENTS. Common categories:
brainstorm/plan/execute- Workflow phasesskills/agents/hooks- Component typesrouting/do- How routing workssubagent- Subagent-driven execution- No argument - Provide system overview
Constraint (Over-Engineering Prevention): Answer only what was asked. Do not dump the entire system architecture when the user asks about one skill. Scope your response to the question asked, then offer to explain related concepts.
Gate: Topic identified. Proceed only when you know what to explain.
Phase 2: GATHER ACCURATE INFORMATION
Goal: Read actual files before explaining anything.
Step 1: Get authoritative data from the catalog script
This constraint (Accuracy Over Speed) is non-negotiable. Counts and listings come from scripts/list-capabilities.py, which reads the generated INDEX files — deterministic, single source of truth. Match the question to the right subcommand:
| Question | Command | Output |
|---|---|---|
| Overview / "how many skills/agents?" | python3 scripts/list-capabilities.py summary |
Skills / Pipelines / Agents counts |
| "what skills exist [in category X]?" | python3 scripts/list-capabilities.py skills [--category X] --brief |
Count; drop --brief for the full name/trigger/description table |
| "what agents exist?" | python3 scripts/list-capabilities.py agents --brief |
Count; drop --brief for the full table |
| "tell me about " | python3 scripts/list-capabilities.py show <name> |
Type, description, triggers, category, file path for a skill/agent/pipeline |
| Fuzzy lookup / "is there a skill for X?" | python3 scripts/list-capabilities.py search <query> |
Ranked name/trigger/description matches across skills, pipelines, agents |
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.
- 26d ago Changed · -134 lines · +9 tokens per session 3ec18208299c
- 27d ago Changed · +1 lines cc13b02a16d5
- 1mo ago First seen · 184 lines · 18 tokens per session scan A 72f8b5138f5e
workflow-help is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 2,023 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 2026-09-03.
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