Laporan audit skill

one-real-conversation Laporan audit.

Push the user toward real validation — one honest conversation with a qualified human — instead of validation theater. Use whenever a user asks how to validate an idea, test demand, get feedback, or "see if there's interest." Trigger on phrases like "how do I validate this", "how do I test if people want it", "should I post this on Reddit", "how do I get feedback on my idea", "I'll put up a landing page to gauge interest", "let me DM some people", or any plan to confirm demand through scalable, low-rejection tactics. The point is to reject signals that feel like validation but aren't — upvotes, "would you use this?" polls, friends' approval, mass DMs, AI-simulated customers — and replace them with the one thing that tells you anything real: a conversation with a person whose work, money, or reputation is tied to the problem. Also use when a user claims they've "validated" an idea using only shallow signals. Do NOT use when the user has already done real customer conversations and is pa

Eksperimental · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
73
Audit
75
Kepercayaan
51
Kualitas
81
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

75
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Peringatan

48

33 star GitHub

Aktivitas star/fork

Peringatan

43

33 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

3 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Info

76

Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat

Risiko dependensi/runtime

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add machinesoul11/anti-sycophant-ai-agent-skills --skill one-real-conversation

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Lulus

100

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Bukti repositori

Lulus

86

https://github.com/machinesoul11/anti-sycophant-ai-agent-skills/tree/main/skills/one-real-conversation

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 12 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add machinesoul11/anti-sycophant-ai-agent-skills --skill one-real-conversation

Repositori

88

Lulus

https://github.com/machinesoul11/anti-sycophant-ai-agent-skills/tree/main/skills/one-real-conversation

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

3 bulan sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

84

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

100

Lulus

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Aktivitas star/fork

43

Perbaiki

33 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

33 star GitHub

Financial decision safety

58

Periksa

Research-only use: do not treat output as financial advice or execute a position without human approval.

Peringatan

  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Persetujuan tinjauan AI belum ada
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 33 GitHub stars
  • Stars/forks activity: 33 stars, 1 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing

Metode

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Bandingkan opsi sekitar

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