human-gate-designer

human-gate-designer is a skill for Claude Code from curiositech/some_claude_skills. It costs 117 tokens per session (1,427 once invoked), scanned A, original, MIT.

A design guide for human review points in directed acyclic graph (DAG) workflows, where tasks run through a one-way dependency graph. It specifies what a person sees, how they respond, and how the workflow continues.

In plain words
What is it for?
Use it to place approval gates, design review screens, collect feedback, and route approve, reject, or modify decisions in agent workflows.
Why use it?
It helps add human oversight at decisions that need approval, rejection, or changes without leaving the routing undefined.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the human-gate-designer plugin — 1 skill shipped together

Good fit Use it to place approval gates, design review screens, collect feedback, and route approve, reject, or modify decisions in agent workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/curiositech/some_claude_skills/human-gate-designer
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 curiositech/some_claude_skills --skill human-gate-designer
Clone the repo
git clone --depth 1 https://github.com/curiositech/some_claude_skills

Made for: Claude Code.

Or install human-gate-designer, the plugin that ships this one along with the rest of its 1 skill.

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 human-gate-designer

README.md
[![agentmods](https://agentmods.dev/badge/skills/curiositech/some_claude_skills/human-gate-designer/github.svg)](https://agentmods.dev/skills/curiositech/some_claude_skills/human-gate-designer)
Your own site
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/human-gate-designer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/human-gate-designer/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.

agentmods 80×15 button for human-gate-designer

Your own site · 80×15
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/human-gate-designer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/human-gate-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,427 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00117 $0.01427
Opus 5 $0.00059 $0.00714
Sonnet 5 $0.00023 $0.00285
Haiku 4.5 $0.00012 $0.00143

Measured 7d ago against content hash f0989a160c53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

human-gate-designer 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 7d 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.

.claude/skills/human-gate-designer/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Human Gate Designer

Designs human-in-the-loop review points in DAG workflows: what to present, how to collect feedback, how to route decisions back into the DAG.


When to Use

Use for:

  • Deciding WHERE in a DAG to place human gates
  • Designing WHAT the human sees at each gate
  • Defining HOW feedback routes back (approve/reject/modify)
  • Balancing automation speed with human oversight

NOT for:

  • Runtime execution of human gates (use dag-runtime + Temporal signals)
  • General UI/UX design (use design skills)
  • Chatbot conversation flow (different pattern)

Gate Placement Decision Tree

flowchart TD
  A{Is the action irreversible?} -->|Yes| G1[Gate BEFORE the action]
  A -->|No| B{Is output user-facing?}
  B -->|Yes| G2[Gate AFTER generation, BEFORE delivery]
  B -->|No| C{Cost > $0.50 for remaining nodes?}
  C -->|Yes| G3[Gate at the cost threshold]
  C -->|No| D{Confidence score < 0.7?}
  D -->|Yes| G4[Gate on low-confidence outputs]
  D -->|No| N[No gate needed]

Where to Place Gates

Situation Gate Position Why
Irreversible action (deploy, send email, submit) Before the action Can't undo
User-facing deliverable (report, website, PR) After generation, before delivery Quality check
High cost remaining (>$0.50) Before expensive phase Budget confirmation
Low confidence output (<0.7) After the uncertain node Expert judgment needed
Ambiguous task decomposition After planning, before execution Validate the plan
First run of a new template DAG After each phase Build trust gradually

Gate Presentation Design

What the Human Sees

┌──────────────────────────────────────────────────────┐
│  🔍 Human Review: [Node Name]                        │
│                                                      │
│  Context: [1-2 sentences: what happened so far]      │
│                                                      │
│  Output to Review:                                   │
│  ┌──────────────────────────────────────────────────┐│
│  │ [The node's output, formatted for readability]   ││
│  │ [Key decisions highlighted]                      ││
│  │ [Confidence: 0.82]                               ││
│  └──────────────────────────────────────────────────┘│
│                                                      │
│  Cost so far: $0.08 / $0.50 budget                  │
│  Remaining nodes: 4 (est. $0.12)                    │
│                                                      │
│  [✅ Approve]  [✏️ Modify]  [❌ Reject]              │
│                                                      │
│  If modifying, what should change?                   │
│  ┌──────────────────────────────────────────────────┐│
│  │ [text input for human feedback]                  ││
│  └──────────────────────────────────────────────────┘│
└──────────────────────────────────────────────────────┘

Read the full file on GitHub · 156 lines

Files

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.

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. 7d ago First seen · 156 lines · 117 tokens per session scan A f0989a160c53

Subscribe to this mod's changes

human-gate-designer is a skill published in the GitHub repository curiositech/some_claude_skills (218 stars, last pushed 4d ago), licensed MIT. It adds 117 tokens to every session and 1,427 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 2026-09-03.

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