workflows

workflows is a skill for Claude Code from ai-ecoverse/slicc. It costs 111 tokens per session (1,228 once invoked), scanned A, original, Apache-2.0.

A workflow system for running coding tasks through several sub-agents in parallel or in stages, then combining their results. A workflow is a JavaScript orchestration script that can later be saved as a reusable command.

In plain words
What is it for?
It is for codebase-wide sweeps, migrations, multi-source research, and planning several approaches before producing a combined result.
Why use it?
It avoids handling large, independent tasks one at a time and keeps intermediate results out of the main conversation context.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit It is for codebase-wide sweeps, migrations, multi-source research, and planning several approaches before producing a combined result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-ecoverse/slicc/workflows
Install

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.

Any agent
npx skills add ai-ecoverse/slicc --skill workflows
Clone the repo
git clone --depth 1 https://github.com/ai-ecoverse/slicc

Made for: Claude Code.

Wrote 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.

agentmods badge for workflows

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-ecoverse/slicc/workflows.svg)](https://agentmods.dev/skills/ai-ecoverse/slicc/workflows)
Your own site
<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/workflows"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/workflows.svg" alt="Measured on agentmods" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,228 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.01228
Opus 5 $0.00056 $0.00614
Sonnet 5 $0.00022 $0.00246
Haiku 4.5 $0.00011 $0.00123

Measured 2d ago against content hash 3220a0f91c79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

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 2d 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.

packages/vfs-root/workspace/skills/workflows/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflows

A workflow is a plain-JS orchestration script that fans out to parallel sub-agents and keeps intermediate results in script variables (not your context). You author it, run it with workflow run, and — once it's good — workflow save it as a reusable command.

When to reach for a workflow

  • A sweep over many files/items where each unit is independent (lint, classify, summarize).
  • A migration applied across a codebase in parallel, then aggregated.
  • Research that fans out to several sources and cross-checks them.
  • Multi-angle planning (draft N approaches in parallel, then synthesize).

If it's a single self-contained task, just use a plain scoop or the agent command — a workflow is overhead you don't need.

The API (available inside a workflow script)

  • agent(prompt, opts?) → the sub-agent's text (or parsed JSON when opts.schema is set), or null on failure. opts: { model?, thinking?, schema?, phase?, label? }.
    • model: a bare model id (run models to see the ids you can use) to run this sub-agent on a specific model; omit to inherit the workflow's model. Always pass the bare id (e.g. claude-opus-4-8), never a provider:model form.
    • thinking: off | minimal | low | medium | high | xhigh (per-agent reasoning effort).
    • schema: a JSON Schema; the result is constrained to it and JSON-parsed for you.
    • phase / label: display-only grouping (no execution effect yet).
  • parallel(thunks) → runs an array of () => Promise concurrently (bounded by the cap).
  • pipeline(items, ...stages) → maps items through stages.
  • phase(title) / log(message) → progress markers.
  • args → the value passed when the workflow is invoked (<name> '<json>').

Authoring

A workflow MUST export a meta block with a name (description optional):

export const meta = { name: 'weekly-audit', description: 'Audit each package in parallel' };

const pkgs = args?.packages ?? ['webapp', 'node-server'];
phase('audit');
const findings = await parallel(
  pkgs.map((p) => () => agent(`Audit packages/${p} for TODOs. One line each.`, { thinking: 'low' }))
);
return findings.filter(Boolean);

Read the full file on GitHub · 99 lines

Changes

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.

  1. 2d ago First seen · 99 lines · 111 tokens per session scan A 3220a0f91c79

Subscribe to this mod's changes

workflows is a skill published in the GitHub repository ai-ecoverse/slicc (30 stars, last pushed today), licensed Apache-2.0. It adds 111 tokens to every session and 1,228 once invoked, about $0.0006 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 2026-09-05.

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