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 agentmods add skills/jamesgray-ai/handsonai-plugins/naming-workflowsnpx skills add jamesgray-ai/handsonai-plugins --skill naming-workflowsgit clone --depth 1 https://github.com/jamesgray-ai/handsonai-pluginsWrote 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/jamesgray-ai/handsonai-plugins/naming-workflows)<a href="https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/naming-workflows"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/naming-workflows.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 | $0.00062 | $0.02920 |
| Opus 5 | $0.00031 | $0.01460 |
| Sonnet 5 | $0.00012 | $0.00584 |
| Haiku 4.5 | $0.00006 | $0.00292 |
Grade A, and why
naming-workflows 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 5d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Naming Workflows
Generate consistent, professional names and descriptions for business workflows, then record them in the workflow's Workflow node — the workflow's AI Registry entry.
Registry entry: the workflow's registry entry is its Workflow concept node in the workspace's
registry/bundle — seeindexing-registry/references/registry-bundle.md(in this plugin) for resolution, write rules, and your fields. If the workspace has noregistry/SCHEMA.md, offer thescaffolding-registryskill first (it also migrates legacyworkflow.yamlworkspaces); do not write registry entries until the bundle exists.
Workflow Naming Rules
Format Requirements
- Length: 2-4 words maximum
- Structure: Noun phrases (not verb phrases)
- Style: Title case
- Clarity: Self-explanatory without context
Naming Patterns by Domain
Sales workflows:
- Pattern:
[Prospect Type] [Action] - Examples: Student Enrollment, Lead Qualification, Proposal Generation
Marketing workflows:
- Pattern:
[Content Type] [Action/Purpose] - Examples: Newsletter Distribution, Social Media Scheduling, Content Repurposing
Product workflows:
- Pattern:
[Deliverable] [Action] - Examples: Lesson Content Creation, Curriculum Design, Exercise Development
Education workflows:
- Pattern:
[Student/Cohort] [Activity] - Examples: Student Onboarding, Course Access Setup, Live Session Delivery
Consulting workflows:
- Pattern:
[Deliverable/Phase] [Action] - Examples: Engagement Planning, Strategic Assessment, Implementation Support
Operations workflows:
- Pattern:
[Function] [Process] - Examples: Email Response Drafting, Calendar Management, System Maintenance
Finance workflows:
- Pattern:
[Transaction Type] [Action] - Examples: Invoice Generation, Payment Processing, Revenue Tracking
Common Patterns
| If workflow monitors/checks | Use "[Subject] Monitoring" or "[Subject] Review" | | If workflow creates output | Use "[Output] Creation" or "[Output] Generation" | | If workflow sends/distributes | Use "[Item] Distribution" or "[Item] Delivery" | | If workflow onboards/sets up | Use "[Subject] Onboarding" or "[Subject] Setup" | | If workflow recovers/follows up | Use "[Subject] Recovery" or "[Subject] Follow-up" |
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.
- 5d ago First seen · 260 lines · 62 tokens per session scan A 9415eb21f0c9
naming-workflows is a skill published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed 24d ago), licensed MIT. It adds 62 tokens to every session and 2,920 once invoked, about $0.0003 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 2026-08-31.
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