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 unrealandychan/clean-code-skill --skill dynamic-workflow-modegit clone --depth 1 https://github.com/unrealandychan/clean-code-skillWrote 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/unrealandychan/clean-code-skill/dynamic-workflow-mode)<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/dynamic-workflow-mode"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/dynamic-workflow-mode/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/unrealandychan/clean-code-skill/dynamic-workflow-mode"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/dynamic-workflow-mode.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 | $0.00053 | $0.01126 |
| Opus 5 | $0.00026 | $0.00563 |
| Sonnet 5 | $0.00011 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
dynamic-workflow-mode 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 yesterday.
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.
This is a copy
92% identical to dynamic-workflow-mode — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynamic Workflow Mode
Use this skill when a coding agent can generate or adapt a task-local harness instead of only following a static command flow. The goal is to turn dynamic workflow mode into a disciplined system: temporary harnesses for one-off work, shared skill extraction for repeated work, and observable control pane checkpoints for teams.
When To Activate
- The user mentions dynamic workflows, custom harnesses, harness-per-task, adaptive workflows, or Claude Code dynamic workflow mode.
- A task needs a custom loop, evaluator, crawler, fixture generator, watcher, or local dashboard.
- Multiple agents need the same repeatable process but the process is not yet captured as a shared skill.
- A workflow needs durable handoff artifacts, eval evidence, or operator approval before merge.
Core Contract
Dynamic workflow mode should produce a task-local harness only when the harness is cheaper and safer than manually driving the same steps. The harness must have:
- Objective: the outcome it owns and the outcome it explicitly does not own.
- Inputs: files, URLs, prompts, data sources, credentials policy, and user-provided constraints.
- Outputs: commits, reports, screenshots, status files, or control pane snapshots.
- Eval: at least one pass/fail check tied to the task, not only "it ran".
- Handoff: a short artifact that tells the next operator what happened, what is blocked, and how to resume.
Dynamic Harness Decision Tree
- One-shot task: keep it inline. Do not invent a harness.
- Repeated task with changing inputs: create a task-local harness and keep it under a temp or project-local working area.
- Repeated task across teammates or repos: extract the pattern into a shared skill.
- Task with external state, queueing, or approvals: add control pane visibility before adding more automation.
- Task with safety risk: add an eval gate and a human merge gate before autonomous execution.
Task-Local Harness Template
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.
- yesterday First seen · 125 lines · 53 tokens per session scan A bdf7902e4e21
dynamic-workflow-mode is a skill published in the GitHub repository unrealandychan/clean-code-skill (6 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 1,126 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to dynamic-workflow-mode, differing in 27 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…