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/redhuntlabs/wizard/building-a-workflow-spellnpx skills add redhuntlabs/wizard --skill building-a-workflow-spellgit clone --depth 1 https://github.com/redhuntlabs/wizardWrote 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/redhuntlabs/wizard/building-a-workflow-spell)<a href="https://agentmods.dev/skills/redhuntlabs/wizard/building-a-workflow-spell"><img src="https://agentmods.dev/badge/skills/redhuntlabs/wizard/building-a-workflow-spell.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 | $0.00033 | $0.01178 |
| Opus 5 | $0.00016 | $0.00589 |
| Sonnet 5 | $0.00007 | $0.00236 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
building-a-workflow-spell 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 6d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building a Workflow Spell
What this does
Specialist builder for kind: workflow spells. A workflow has multiple stages with explicit handoff artifacts and checkpoints between them.
When to use
- Routed to from
building-a-spellStage 2 whenkind: workflow - User describes a process with natural stopping points and intermediate artifacts
What you bring (Inputs)
- The workflow's overall goal
- The natural stages (or the steps the user does today, which we'll cluster)
- The artifact handed from each stage to the next
What you get (Output)
A draft SKILL.md with explicit Stages, Checkpoints, and Loop-back conditions sections, ready for the standard tester.
How it works (Steps)
This is a workflow chain.
Stages
Stage 1: Identify the natural stopping points
A stage is a place where you could (and sometimes do) stop, hand the work to someone else, and return to it later.
Ask the user (or extract): "What are the natural stopping points in this process?"
If the user says "no stopping points, it's one continuous flow" — this isn't a workflow; it's a content kind. Re-route.
Stage 2: Name each stage and its artifact
Each stage has:
- Goal: what this stage accomplishes
- Input: artifact from the previous stage (or initial inputs for stage 1)
- Output: artifact handed to the next stage
If you can't name the output artifact, the stage isn't well-defined yet. Sharpen.
Stage 3: Write checkpoints
For each stage transition, write the checkpoint — what must be true to pass the gate.
Checkpoints are tested, not asserted. Each checkpoint should be verifiable: the artifact has a property you can check.
Stage 4: Identify loop-back conditions
A workflow without loop-backs is a pipeline (one-way). Most real workflows loop back — when the artifact at stage N reveals stage N-1 was wrong.
Capture loop-back conditions explicitly. If there are none, that's a finding — confirm with user.
Stage 5: If the workflow composes other spells, declare them
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.
- 6d ago First seen · 146 lines · 33 tokens per session scan A ddd50f58f1d6
building-a-workflow-spell is a skill published in the GitHub repository redhuntlabs/wizard (9 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 1,178 once invoked, about $0.0002 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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