loa-credentials — discord loa-credentials, loa-freeside, community, discord, ide skills, telegram

v1.0.0

关于此技能

Multi-tenant SaaS platform for token-gated onchain communities - wallet scoring, Discord/Telegram integration, and human-in-the-loop approval workflows

# 核心主题

0xHoneyJar 0xHoneyJar
[7]
[0]
更新于: 3/25/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
42
Canonical Locale
en
Detected Body Locale
en

Multi-tenant SaaS platform for token-gated onchain communities - wallet scoring, Discord/Telegram integration, and human-in-the-loop approval workflows

核心价值

Multi-tenant SaaS platform for token-gated onchain communities - wallet scoring, Discord/Telegram integration, and human-in-the-loop approval workflows

适用 Agent 类型

Suitable for operator workflows that need explicit guardrails before installation and execution.

赋予的主要能力 · loa-credentials

! 使用限制与门槛

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

loa-credentials 是什么?

Multi-tenant SaaS platform for token-gated onchain communities - wallet scoring, Discord/Telegram integration, and human-in-the-loop approval workflows

如何安装 loa-credentials?

运行命令:npx killer-skills add 0xHoneyJar/loa-freeside。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

loa-credentials 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add 0xHoneyJar/loa-freeside。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    loa-credentials 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

loa-credentials

Multi-tenant SaaS platform for token-gated onchain communities - wallet scoring, Discord/Telegram integration, and human-in-the-loop approval workflows

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

/loa-credentials — Credential Management

Overview

Manage API credentials for Loa's multi-model provider system. Three storage tiers:

  1. Environment variables — highest priority, standard approach
  2. Encrypted store~/.loa/credentials/store.json.enc (Fernet/AES-128)
  3. .env.local — project-level dotenv file (gitignored)

Subcommands

status (default)

Show credential status for all known providers.

Workflow:

  1. Run: python3 -c "from loa_cheval.credentials import get_credential_provider; from loa_cheval.credentials.health import HEALTH_CHECKS; p = get_credential_provider('.'); [print(f'{k}: {\"configured\" if p.get(k) else \"missing\"}') for k in HEALTH_CHECKS]"
  2. Format results as a table:
    Credential Status
    ─────────────────────────────────
    OPENAI_API_KEY      configured  (env)
    ANTHROPIC_API_KEY   missing
    MOONSHOT_API_KEY    configured  (.env.local)
    
  3. If any credentials are missing, suggest: Run /loa-credentials set <NAME> to configure

set <CREDENTIAL_ID>

Store a credential in the encrypted store.

Workflow:

  1. Validate the credential ID is in the known list or matches the allowlist pattern
  2. CRITICAL: Use AskUserQuestion to prompt for the value — NEVER accept credentials as command arguments
  3. Run: python3 -c "from loa_cheval.credentials.store import EncryptedStore; s = EncryptedStore(); s.set('CREDENTIAL_ID', 'VALUE')"
  4. Confirm: "Stored CREDENTIAL_ID in encrypted store (~/.loa/credentials/)"
  5. Optionally offer to test the credential

Security Rules:

  • NEVER echo, print, or log the credential value
  • NEVER include the credential value in tool call descriptions
  • NEVER store credentials in .claude/ or grimoires/
  • The value MUST come from user input via AskUserQuestion, never from command args

test

Test all configured credentials against provider endpoints.

Workflow:

  1. Run: python3 -c "from loa_cheval.credentials import get_credential_provider; from loa_cheval.credentials.health import check_all; results = check_all(get_credential_provider('.')); [print(f'{r.credential_id}: {r.status} — {r.message}') for r in results]"
  2. Format results:
    Credential Health
    ─────────────────────────────────
    OPENAI_API_KEY      ok     — OpenAI API: valid (HTTP 200)
    ANTHROPIC_API_KEY   error  — Anthropic API: invalid key (HTTP 401)
    MOONSHOT_API_KEY    missing — MOONSHOT_API_KEY not configured
    

delete <CREDENTIAL_ID>

Remove a credential from the encrypted store.

Workflow:

  1. Confirm with user before deletion
  2. Run: python3 -c "from loa_cheval.credentials.store import EncryptedStore; s = EncryptedStore(); print('deleted' if s.delete('CREDENTIAL_ID') else 'not found')"

Error Handling

ErrorCauseResolution
"cryptography package required"Missing dependencypip install cryptography
"No credentials configured"Empty store + no env varsRun /loa-credentials set
"Health check timeout"Network issueCheck connectivity

Integration

Credentials stored via this command are automatically discovered by:

  • Config interpolation ({env:VAR} tokens in .loa.config.yaml)
  • LazyValue resolution (provider auth fields)
  • All skills that use model-invoke

The credential chain is: env var → encrypted store → .env.local Environment variables always take priority.

相关技能

寻找 loa-credentials 的替代方案 (Alternative) 或可搭配使用的同类 community Skill?探索以下相关开源技能。

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