Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. 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/ProfFroggo/froggo-mission-control/dev/.claude/skills/workflow-automator/SKILL.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/workflow-automator)<a href="https://agentmods.dev/skills/proffroggo/froggo-mission-control/workflow-automator"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/workflow-automator/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/proffroggo/froggo-mission-control/workflow-automator"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/workflow-automator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00021 | $0.02014 |
| Opus 5.5 | $0.00008 | $0.00806 |
| Sonnet 5.5 | $0.00004 | $0.00403 |
| Haiku 4.5 | $0.00002 | $0.00201 |
Grade A, and why
workflow-automator 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 today.
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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Automator Skill
Overview
Workflow Studio is the platform's visual automation system. Agents can create, edit, execute, and manage workflows via the REST API at /api/local/workflows.
API Endpoints
List Workflows
GET /api/local/workflows?limit=50&offset=0
→ { workflows: WorkflowSummary[] }
Create Workflow
POST /api/local/workflows
Body: { name: string, description?: string, state: SerializedWorkflow }
→ { id: string, name: string, ... }
Update Workflow
PUT /api/local/workflows/:id
Body: { name?, description?, state?, is_deployed?: 0|1 }
→ WorkflowDetail
Delete Workflow
DELETE /api/local/workflows/:id
Execute Workflow
POST /api/local/workflows/:id/execute
Body: { input?: any }
→ { id: string, workflowId: string, status: string, result?: any }
List Executions
GET /api/local/workflows/:id/executions?limit=50&offset=0
→ { executions: ExecutionResult[] }
SerializedWorkflow Format
Every workflow is a JSON object with this structure:
{
"version": "1",
"blocks": [
{
"id": "unique-string-id",
"position": { "x": 100, "y": 200 },
"config": {
"tool": "block_type",
"params": { /* block-specific parameters */ }
},
"inputs": {},
"outputs": { "response": "string" },
"metadata": {
"id": "same-as-block-id",
"name": "Human-readable name",
"icon": "LucideIconName",
"color": "#hexcolor",
"category": "trigger|ai|logic|integration|data|utility"
},
"enabled": true
}
],
"connections": [
{ "source": "block-id", "target": "block-id" }
],
"loops": {}
}
Block Types Reference
Triggers
| Type | Params |
|---|---|
starter |
triggerType ("manual"|"schedule"|"webhook"|"api"), schedule (cron), webhookPath |
generic_webhook |
webhookPath, method, secret |
AI
| Type | Params |
|---|---|
agent |
agentId (MC agent), model, systemPrompt, userPrompt, temperature, maxTokens |
thinking |
model, prompt, maxTokens |
openai |
model, systemPrompt, userPrompt, temperature, maxTokens |
evaluator |
criteria, rubric, model |
guardrails |
rules, action ("block"|"warn"|"retry") |
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.
- today First seen · 233 lines · 21 tokens per session scan A 6e3e76b96c81
workflow-automator is a skill published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 2,014 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 2026-11-07.
workflow-automator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workflow-automatorProfFroggo/froggo-mission-control | Skill | 2 | 6mo ago | Apache-2.0 | A | 21 | Claude Code |
| news-searchelvisun/newsjack | Skill | 1.7k | yesterday | MIT | A | 69 | Claude Code |
| recipe-fullstack-implementshinpr/claude-code-workflows | Skill | 711 | 4d ago | MIT | A | 17 | Claude Code |
| notionArvo-AI/aurora | Skill | 454 | yesterday | Apache-2.0 | A | 23 | Claude Code |
| agent-readiness-auditmohitagw15856/pm-claude-skills | Skill | 1.5k | yesterday | MIT | A | 117 | Claude Code |
| mcp-server-specmohitagw15856/pm-claude-skills | Skill | 1.5k | yesterday | MIT | A | 101 | Claude Code |
| output-error-direct-iogrowthxai/output | Skill | 444 | 4d ago | Apache-2.0 | A | 45 | Claude Code |