autoprompt

REVIEW · 60
Registry indexed

Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without a

Verified installs0
Stars409
Version1.0.0
Quality73/100 · Strong
Trust60/100 · Sandbox only
Audit78/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Spielewoy/autoprompt-skill --skill autoprompt

Maintenance

fresh

3d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

409

73/100 Quality · 68/100 Trust

Coverage tags

CodingGitHub automationdesign-creativeagent-skill

Review notes

Permission surface may require sandboxing · The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
73

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
60

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
78

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

409 GitHub stars

Repo activity

409 stars, 28 forks

Maintenance

3d since push

License

MIT

Install

npx skills add Spielewoy/autoprompt-skill --skill autoprompt

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 409 stars, 28 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Policy
review
Human review
yes

Trust and risk

Trust
60/100
Audit
78/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Spielewoy/autoprompt-skill --skill autoprompt

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

Agent safety v2

46/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install spielewoy-autoprompt

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use autoprompt in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20autoprompt%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/spielewoy-autoprompt/install
Install command: npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use autoprompt for this task. Review https://www.openagentskill.com/api/skills/spielewoy-autoprompt/install, then install with: npx skills add Spielewoy/autoprompt-skill --skill autoprompt

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

74/100

GitHub automation

Platforms

Claude Code, OpenAI Agents

Audit report

Needs review · 78/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for GitHub automation

Shortlist this skill and compare it with close alternatives before production adoption.

74
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

GitHub automation

Trust label

Strong shortlist

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 73/100 quality profile
  • 5 OpenAgentSkill engagement events

review first

  • The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

60
OpenAgentSkill Trust Score

GitHub adoption

INFO

409 GitHub stars

Stars/forks activity

CHECK

409 stars, 28 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 409 stars, 28 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

73
GitHub stars
409
Freshness
3d ago
Install ready
Yes
License
MIT
Review before install: The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: autoprompt description: "Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction." ---

# Autoprompt

Autoprompt is a useful-first orchestration loop. It stores the mission once, produces one independently approved executable roadmap, dispatches implementation-ready lanes directly, and proves the delivered behavior with real tests and fresh review.

## 1. Start contract

The invocation authorizes the mission. Do not ask the user to restate, narrow, or approve it.

Loading the skill or invoking it without a mission never starts or resumes a run, regardless of leftover artifacts. A bare invocation performs only the section-10 frontier check, reports the result, and stops.

Before spawning, resolve only undefined operator knobs:

- **Concurrency:** `tokensaver` (default, up to six live), `wide`/`billionaire` (all ready disjoint work up to the global ceiling), or `custom max_subs=N`. - **Agent selection:** `off`/inherit, `auto`, or an explicit model list. First state effort capability as exactly `selectable`, `inherited-only`, `unsupported`, or `unknown`; name the verified maximum only when selectable.

In an attended session, ask all undefined knobs in one question before repository/tool work. In an unattended supervisor run, do not ask: default to `tokensaver` and `agents=off` and record the assumptions. A permission-bypass flag is not unattendedness.

After the chooser, dispatch the L1 scope coordinator `ap-scope-coordinator`; it dispatches the useful-first roadmap author. There is no separate intake round trip and no mandatory preflight agent.

An invoked mission always enters orchestration: the bounded scope topology is the minimum topology, and the main agent never silently self-triages an invoked mission into direct execution. Skipping or narrowing dispatch is an explicit decision recorded in `GATELOG.md` with its rationale, never a silent one.

## 2. Capability fast path

A supervisor may provide a versioned capability attestation bound to provider/runtime, CLI version, permission profile, agent selector, agent-definition hash, casting hash, effort status/source, and exact RUN/READ/WRITE success. Use it only when every binding matches the live launch. Missing, malformed, stale, unknown, or contradictory values are safe misses.

Without a trusted attestation, the first useful roadmap author proves RUN, READ, and WRITE against a disposable scratch path before repository inspection and then immediately continues. Any failure hard-stops before implementation. The preflight persona is diagnostic/recovery only.

## 3. Adaptive scope topology

Scope produces one canonical `ROADMAP.md`.

- **bounded:** roadmap author, then independent reviewer and blind fresh verifier concurrently - **3 agents, 2 rounds**, target under one minute; - **multi-surface:** **exactly 5 agents, 3 rounds**, target under five minutes; retain the complete author roadmap and evidence, add exactly two complementary scouts, then concurrent reviewer plus fresh verifier without a redundant ordinary synthesis dispatch; - **unusually-large:** may exceed the 6-agent ordinary budget only with a concrete recorded escalation reason.

External research runs only when current external facts are required. On rejection, retain accepted evidence and repair only named items. Empty roadmaps, invalid DAGs, overlapping ownership, missing frameworks/tests, and failed capability are hard failures.

## 4. Executable roadmap

`ROADMAP.md` is the new run's sole scope/decomposition/plan source. It includes mission pointer/hash and nonce; scope profile/escalation; repository intelligence; framework/tool decisions; stable item ids; category/tag/tier/framework; owned boundaries; dependencies and launch groups; integration lane; implementation steps; positive acceptance criteria; unhappy paths; tests first; real verification; >=95% changed-line and touched-module coverage; and `requiresDetailedPlan` only when needed.

Implementation-ready items dispatch directly to build. Add G1 only for debug/depth-lock work, a named unresolved design fork, `requiresDetailedPlan: true`, or a worker-reported plan conflict.

Decompose the mission into every genuinely disjoint lane. Never collapse a multi-surface mission into one "bounded" lane to shrink the roadmap; disjoint surfaces get disjoint lanes with disjoint ownership.

## 5. New-run governance

New-run governance is exactly:

1. `PROMPTS.txt` - exact append-only prompt blocks; 2. `ROADMAP.md` - canonical executable roadmap; 3. `GATELOG.md` - append-only transitions, persona/model/effort provenance, verdicts, hashes, elapsed time, and resume frontier.

Do not create new-run governance-only `BRIEF.md`, `PLAN.md`, `AGENTS.md`, `COVERAGE.md`, `BACKLOG.md`, `ANCHOR.md`, `bucketlist.md`, `intake.md`, `scope-map.md`, or per-angle scope files. Preserve substantive implementation/test/review/verification evidence. Legacy ledgers remain readable and contradictory mixed formats fail closed.

Governance lives at the run's governance root outside the mission target repository: `PROMPTS.txt`, `ROADMAP.md`, and `GATELOG.md` are never written into the target working tree and must never appear in its diff.

## 6. Compact pointer briefs

The first roadmap author stores the exact mission in `PROMPTS.txt`. Later briefs carry:

```text MISSION POINTER: read the exact prompt ledger before acting; stop if its hash or byte length differs. path=<PROMPTS.txt> hash=sha256:<64 hex> bytes=<UTF-8 byte length> nonce=<RUN-NONCE> ```

Workers verify path, hash, byte length, and nonce before acting. Send only role, objective, boundary, dependencies, acceptance criteria, roadmap/evidence pointers with hashes, output schema/path, and model/effort status. Do not paste the mission, transcript, full roadmap, doctrine, or prior adversarial reasoning. Preserve blind review.

## 7. Hierarchy and dispatch

Every worker is an installed, registered `ap-*` persona. Its custom-agent definition plus the dispatched task brief are its complete operating context. A worker must never load, invoke, or re-invoke the Autoprompt skill or start a nested Autoprompt run; it executes only its persona instructions and assigned brief. Every dispatch binds the intended persona's registered name as the agent type: an anonymous, `general-purpose`, or dynamically invented agent is an invalid dispatch, and any child dispatch must name another registered `ap-*` persona.

- L0 starts and reports. On a new run it dispatches only the named L1 coordinators - `ap-scope-coordinator` for scope, `ap-feature-coordinator` for build, `ap-sweep-coordinator` for convergence - never an L2 manager or an L3/L4 worker directly; a direct worker spawn is a skip-the-coordinator collapse. `ap-preflight-probe` and `ap-intake` remain diagnostic and legacy-resume exceptions. - L1 coordinators (`ap-scope-coordinator`, `ap-feature-coordinator`, `ap-sweep-coordinator`) own scope, feature fleet, or convergence and dispatch only. Each dispatches one `ap-manager` per multi-feature/multi-track slice, or named L3/L4 workers directly on a single bounded lane. - The L2 manager (`ap-manager`) is optional for multi-feature/multi-track slices; it dispatches named L3/L4 workers and never executes. - L3 executors (`ap-scoper`, `ap-researcher`, `ap-synthesizer`, `ap-planner`, `ap-implementer`, `ap-reviewer`, `ap-verifier`, `ap-sweeper`, `ap-execharness-resolver`, `ap-framework-generator`) do roadmap/scout/research/synthesis/planning/build/review/verification/sweep work. - L4 terminal leaves (`ap-fresh-verifier`, `ap-depth-prober`, `ap-framework-validator`, `ap-juror`, `ap-goal-checker`, `ap-arbiter`, `ap-re-anchor`, `ap-scribe`, `ap-janitor`) do blind verification, depth-lock, framework validation, juries, goal check, arbitration, re-anchor, records, and cleanup.

L1 never executes. A single bounded lane skips L2. Dispatch ready disjoint work together spawn-all-then-collect: issue every spawn of a ready group before collecting any report - parallel background dispatch is the default shape, and serialization is allowed only for declared real dependencies. No self-review. Reuse valid evidence and avoid duplicate ownership.

Subagents extend the dispatching agent's work; they never replace it. The dispatcher keeps synthesis, integration, and final judgment. Ordinary implementation, planning, and read-relay workers must not re-derive context the dispatcher already holds. Independent assurance agents must independently re-derive relevant truth without reading one another's verdicts or consuming the author's success assertions.

Every dispatch is collect-then-stop: stop that agent explicitly once its final report is collected; a parked resumable agent is still a live agent and counts against the live ceiling. Never leave a finished agent idling for possible follow-ups.

## 8. Codex model and effort

Codex uses actual custom-agent TOML `model` and `model_reasoning_effort` capabilities; it does not use Claude Code alias routing. Agent selection changes only model/effort, not gates or concurrency.

One selected model routes every role to that model. With multiple models, map stronger models to reasoning-heavy roles without inverting operator order. When effort is selectable, use the verified maximum for scope/coordinator/scouts/synthesis, planning, review, blind verification, runtime verification, jurors, goal check, arbitration, and depth-lock. Ordinary implementation defaults high; mechanical record/cleanup roles may be lower. When effort is inherited-only, unsupported, or unknown, omit the field and record the truthful fallback.

Exported agent definitions and selector metadata must match the live launch. A mismatched explicit selection fails rather than pretending it applied.

## 9. Build and verification

Use strict TDD: write and run the correct failing behavior test, implement the minimum change, refactor under green, run touched modules and direct dependents, and prove >=95% changed-line/touched-module coverage. Use real runners and systems. Do not mock the system under test or databases in integration tests.

Independent implementation review and runtime verification run concurrently when neither consumes the other's verdict. Debug work requires issue-derived red-to-green evidence and depth-lock at the deepest responsible function.

DONE requires full mission/roadmap coverage, zero open findings, usability, no pre-existing green-to-red regressions, >=95% changed-line coverage, real end-to-end exercise, successful ledger validation, zero live subagents, and cleanup when enabled.

## 10. Resume, steering, arbitration, and git

Resume is explicit: only an explicit `resume` instruction or a supervisor relaunch resumes a run; skill load, bare invocation, or leftover artifacts never do. The only startup read is the `GATELOG.md` tail - its last frontier row carries the mission pointer/hash, nonce, last accepted gate, and open item ids; report that status in under 150 words and stop when no frontier is active. On explicit resume, verify the pointer hash and dispatch the open frontier with compact pointer briefs; workers, not the resuming context, read `ROADMAP.md`, `PROMPTS.txt`, and substantive evidence. Treat temporary, empty, or unparsable artifacts as absent. Append later self-written steering to the next `PROMPTS.txt` block without rewriting history.

The arbiter decides technical forks. Ask the user mid-run only for genuinely user-owned irreversible/destructive actions, real money/quota, unavailable credentials, or product direction. Never arbitrate away capability failure, blockers, coverage, or real verification.

Do not commit, push, publish, deploy, spend money, delete user data, force-push, reset hard, or clean the working tree with

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 19, 2026

Decision snapshot

Companion skill

74
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

78
Needs review
Security
76/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for autoprompt, ready for a manual X post.

Curator note
A practical pick for design or creative work:

autoprompt: Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependenc...

409 stars

https://www.openagentskill.com/skills/spielewoy-autoprompt?ref=x
Open X draft
Optional reply with install command
Listing + install path for autoprompt:
https://www.openagentskill.com/skills/spielewoy-autoprompt?ref=x

Install: npx skills add Spielewoy/autoprompt-skill --skill autoprompt

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Spielewoy
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to Spielewoy but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/spielewoy-autoprompt?metric=listed&label=Listed)](https://www.openagentskill.com/skills/spielewoy-autoprompt)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/spielewoy-autoprompt?metric=trust&label=Trust)](https://www.openagentskill.com/skills/spielewoy-autoprompt)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/spielewoy-autoprompt?metric=audit&label=Audit)](https://www.openagentskill.com/skills/spielewoy-autoprompt/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/spielewoy-autoprompt?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/spielewoy-autoprompt)

Author

S

Spielewoy

@spielewoy

Health signals

GitHub stars
409
Quality score
42/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

60
  • GitHub adoption409 GitHub starsINFO
  • Stars/forks activity409 stars, 28 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO