request-human-input

request-human-input is a skill for Claude Code from jain777/jobclaw-skills. It costs 80 tokens per session (1,173 once invoked), scanned A, original, MIT.

A decision-and-prompt tool for situations where an automated workflow may need a person to choose what happens next.

In plain words
What is it for?
Use it to decide whether human approval is needed, create a mobile-friendly prompt with a timeout default, or interpret a reply into a structured decision.
Why use it?
It makes the blocking question clear, limits the person’s choices to a few quick replies, and records the request for later handling.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the jobclaw-skills plugin — 20 skills shipped together

Good fit Use it to decide whether human approval is needed, create a mobile-friendly prompt with a timeout default, or interpret a reply into a structured decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jain777/jobclaw-skills/request-human-input
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 jain777/jobclaw-skills --skill request-human-input
Clone the repo
git clone --depth 1 https://github.com/jain777/jobclaw-skills

Made for: Claude Code.

Or install jobclaw-skills, the plugin that ships this one along with the rest of its 20 skills.

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 request-human-input

README.md
[![agentmods](https://agentmods.dev/badge/skills/jain777/jobclaw-skills/request-human-input/github.svg)](https://agentmods.dev/skills/jain777/jobclaw-skills/request-human-input)
Your own site
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/request-human-input"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/request-human-input/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 request-human-input

Your own site · 80×15
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/request-human-input"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/request-human-input.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 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 $0.00080 $0.01173
Opus 5.5 $0.00032 $0.00469
Sonnet 5.5 $0.00016 $0.00235
Haiku 4.5 $0.00008 $0.00117

Measured 2mo ago against content hash 0e8328cf97f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

request-human-input 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 2mo 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.

skills/request-human-input/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.

request-human-input

Pause the loop, ask one clear thing, resume on reply. Hard rules: ../_shared/RULES.md.

Two modes

Compose mode (default — no --reply)

Decide if the situation needs human input. If yes, produce a mobile-first prompt + ≤ 3 options + a timeout default. Always writes requests/<id>.json so the the optional JobClaw agent's HITL MCP can pick it up.

Parse mode (--reply "<text>")

Match the reply to an option (case-insensitive prefix + fuzzy). Return a structured decision; mark the request file resolved.

Inputs (compose)

  • situation — 1–3 sentences. The blocker.
  • policy — freeform string. Escalation rules (e.g., "Escalate any irreversible action; auto-proceed on captcha if MFA backup is configured").
  • context_attachments[] (optional) — file paths (screenshot, log) the human can review.
  • request_id (optional) — caller-provided; else generate a 12-char hex slug.

Inputs (parse)

  • --request_id — which request the reply is for.
  • --reply — the user's verbatim reply string.

Method (compose)

  1. Decide if a human is needed. Apply the policy text to situation. Output {needs_human: bool, reason}. If false, exit cleanly — no question, no file.

  2. If needed, compose the prompt (mobile-first):

    • Stem — ≤ 1 sentence, ≤ 120 chars. The question itself.
    • Options — 1–3 quick-reply labels, each ≤ 24 chars. Verb-led.
    • Default on timeout — what JobClaw does if the human doesn't reply: skip | queue | retry | abort. Default abort for irreversible actions.
    • Context snippet — 1 line (e.g. "Captcha at Workday submit for Mercury, screenshot attached"). No more.
  3. Persist. Always write requests/<request_id>.json:

    {
      "request_id": "...",
      "created_at": "ISO-8601",
      "situation":  "...",
      "policy":     "...",
      "prompt":     "string ≤ 120 chars",
      "options":    [{ "label": "string ≤ 24 chars", "value": "string" }],
      "timeout_default": { "after_minutes": 30, "action": "skip|queue|retry|abort" },
      "context_refs":    ["path/or/url"],
      "status":     "open"
    }
    

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. 2mo ago First seen · 99 lines · 80 tokens per session scan A 0e8328cf97f8

Subscribe to this mod's changes

request-human-input is a skill published in the GitHub repository jain777/jobclaw-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 80 tokens to every session and 1,173 once invoked, about $0.0003 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 2026-08-31.

Related

request-human-input compared with skills from other repositories

request-human-input next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
request-human-inputjain777/jobclaw-skillsSkill75mo agoMITA80Claude Code
imagegenopenai/codexSkill135ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill100ktodayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill316k7d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code