Agent skill

Runner Elicitation Policy

by jianzhichun in jianzhichun/emerge

A skill your agent uses when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted.

MITAuto-check passed

Install Runner Elicitation Policy

skills CLI
$ npx skills add jianzhichun/emerge --skill runner-elicitation-policy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jianzhichun/emerge runner-elicitation-policy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/runner-elicitation-policy .claude/skills/runner-elicitation-policy && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
runner-elicitation-policy
GitHub stars
104
Token cost
~390 tokens
SKILL.md length
188 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted.

  • Deciding whether a runner should interrupt the operator
  • SKILL.md covers Purpose, Interrupt Only When, Do Not Interrupt For and Popup Copy, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • How popup text should be phrased

What it does

Runner Elicitation Policy is an agent skill from jianzhichun/emerge. Use when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

When your agent uses it

  • Deciding whether a runner should interrupt the operator
  • How popup text should be phrased
  • How timeout/failure classes should be interpreted

Example prompts

  • “/runner-elicitation-policy”

What it can do on your machine

Read from SKILL.md and the folder at commit 035db30. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Runner Elicitation Policy loads about 390 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~390

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jianzhichun/emerge at commit 035db30, republished under its MIT licence (© jianzhichun). 188 words, ~390 tokens.

Download SKILL.mdSave it as .claude/skills/runner-elicitation-policy/SKILL.md (or your agent's skills folder).
name
runner-elicitation-policy
description
Use when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted.

Runner Elicitation Policy

Purpose

Runner popups are scarce attention. Use them only when operator input changes the outcome and the system cannot safely proceed from existing evidence.

Interrupt Only When

  • The intent is ambiguous and a wrong choice would create or reinforce the wrong pipeline.
  • The action is irreversible or high risk and cannot be recovered by rollback.
  • A local preference is needed to interpret repeated behavior, such as a target layer or naming convention.

Do Not Interrupt For

  • Started, running, completed, or routine failure notifications.
  • Read-only status, health, or sync updates.
  • Errors the daemon can retry or classify without user input.
  • Asking the operator to approve a pipeline that policy already promoted.

Popup Copy

  • State the decision in one sentence.
  • Offer concrete choices, not open-ended explanation requests.
  • Include a default only when timeout behavior is safe.
  • Mention the affected connector/profile when it prevents ambiguity.

Failure Classes

  • timeout: no operator answer; record as no decision, not rejection.
  • dismissed: operator intentionally declined interruption; do not repeat immediately.
  • upload_failed: transport issue; retry if the decision is still relevant.
  • render_failed: local UI unavailable; fall back to event stream and avoid loops.

© jianzhichun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/runner-elicitation-policy of jianzhichun/emerge.

Open the folder on GitHubat commit 035db30

Compare with similar skills

Runner Elicitation Policy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Runner Elicitation Policy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Runner Elicitation Policy this skilljianzhichun/emerge104—~390Automated safety check: PassMIT
Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: NotesApache-2.0
Popupscoreyhaines31/marketingskills54k1 repos~2.9kAutomated safety check: PassMIT
It Operationsdavila7/claude-code-templates33k1 repos~3.7kAutomated safety check: PassMIT
Policy Acknowledgementsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Operator Approval Loopaffaan-m/ECC277k—~3.3kAutomated safety check: PassMIT

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Questions about Runner Elicitation Policy

What does Runner Elicitation Policy do?

A skill your agent uses when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted. Runner Elicitation Policy is an agent skill from jianzhichun/emerge. Use when deciding whether a runner should interrupt the operator, how popup text should be phrased, and how timeout/failure classes should be interpreted.

When should I use Runner Elicitation Policy?

Runner Elicitation Policy fits situations like: deciding whether a runner should interrupt the operator; how popup text should be phrased; how timeout/failure classes should be interpreted.

How do I install Runner Elicitation Policy in Claude Code?

Run `npx skills add jianzhichun/emerge --skill runner-elicitation-policy -a claude-code`. Or copy the skill folder (skills/runner-elicitation-policy in jianzhichun/emerge) into .claude/skills/runner-elicitation-policy in your project. Claude Code loads it when a task matches its description.

How do I install Runner Elicitation Policy in Codex?

Run `npx skills add jianzhichun/emerge --skill runner-elicitation-policy -a codex`. Or copy the skill folder (skills/runner-elicitation-policy in jianzhichun/emerge) into .agents/skills/runner-elicitation-policy in your project. Codex loads it when a task matches its description.

Can I use Runner Elicitation Policy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jianzhichun/emerge --skill runner-elicitation-policy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/runner-elicitation-policy, .gemini/skills/runner-elicitation-policy, .github/skills/runner-elicitation-policy and .opencode/skills/runner-elicitation-policy in your project.

What does Runner Elicitation Policy need to run?

SKILL.md names no scripts, command-line tools or credentials: Runner Elicitation Policy is instructions for the agent only.

Does Runner Elicitation Policy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Runner Elicitation Policy safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Runner Elicitation Policy use?

Runner Elicitation Policy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Runner Elicitation Policy use?

About 390 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Runner Elicitation Policy?

Skills that share tags, products or a category with Runner Elicitation Policy: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Popups (coreyhaines31/marketingskills, 54k stars), It Operations (davila7/claude-code-templates, 33k stars) and Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Runner Elicitation Policy?

jianzhichun (a GitHub user) maintains it in jianzhichun/emerge, which has 104 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on April 26, 2026.

Source: jianzhichun/emerge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.