autoprompt

Tinjau · 60
Diindeks di Registry

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
Star409
Versi1.0.0
Kualitas73/100 · Kuat
Kepercayaan60/100 · Hanya sandbox
Audit78/100 · Perlu ditinjau

Profil aset

Agent pemrograman dan pengembangan

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

Lihat kategori

Skenario

GitHub automation

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

Kecocokan Agent

Claude Code + OpenAI Agents + CLI

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

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

Pemeliharaan

Terkini

3 hari sejak push

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

409

73/100 Kualitas · 68/100 Kepercayaan

Tag cakupan

CodingGitHub automationDesain dan kreatifagent-skill

Catatan ulasan

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.

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Kuat
73

Solid option that is likely worth shortlisting for production workflows.

Kepercayaan

Hanya sandbox
60

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
78

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

409 star GitHub

Aktivitas repositori

409 star dan 28 fork

Pemeliharaan

3 hari sejak push

Lisensi

MIT

Pasang

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

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

shell or command execution, filesystem or document access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • 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

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Keputusan pemasangan

Perintah
npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
60/100
Audit
78/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

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

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • 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.
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Keamanan Agent v2

46/100 · Hindari pemasangan otomatis

EksperimentalTinjau

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

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

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

Sedang

Akses database

Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.

  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

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

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin 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.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

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

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

74/100

GitHub automation

Platform

Claude Code, OpenAI Agents

Laporan audit

Perlu ditinjau · 78/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Companion skill for GitHub automation

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

74
Kesiapan
Shortlist
Tahap

Peran di stack

Skill pendamping

Kecocokan utama

GitHub automation

Label kepercayaan

Shortlist kuat

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 73/100
  • 5 event interaksi OpenAgentSkill

tinjau dulu

  • 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.

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas GitHub automation dari awal hingga akhir.
  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.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

60
Trust Score OpenAgentSkill

Adopsi GitHub

Info

409 star GitHub

Aktivitas star/fork

Periksa

409 star dan 28 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

3 hari sejak push

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Kuat kandidat untuk alur kerja Agent

Solid option that is likely worth shortlisting for production workflows.

73
Star GitHub
409
Keterkinian
3 hari lalu
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: 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.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- 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

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
20 Agu 2026
Diterbitkan
19 Agu 2026

Ringkasan keputusan

Skill pendamping

74
Siap
Shortlist
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

78
Perlu ditinjau
Keamanan
76/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk autoprompt, siap untuk posting manual di X.

Catatan kurator
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
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for autoprompt:
https://www.openagentskill.com/skills/spielewoy-autoprompt?ref=x

Install: npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
Spielewoy
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan Spielewoy, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![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)

Penulis

S

Spielewoy

@spielewoy

Kecocokan platform

Sinyal kesehatan

Star GitHub
409
Skor kualitas
42/100
Push GitHub terakhir
20 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
5
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

60
  • Adopsi GitHub409 star GitHubInfo
  • Aktivitas star/fork409 star dan 28 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaru3 hari sejak pushLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimeCakupan eksekusi perintahInfo