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Releases: dososo/BLCaptain-Opportunity-PRD-Skill

v1.2.9

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@dososo dososo released this 20 Jun 03:54

v1.2.9

  • 严格校验 OpenAI-compatible 模型最终 content,HTTP 200 但 content 为空不再算健康通过。
  • 仅返回 reasoning_content 时提示关闭 thinking 或增大 max_tokens,不再作为有效多模型讨论输出。
  • 复用统一 payload 构造和响应解析逻辑,工作流调用不再静默接受空输出。
  • 更新 DeepSeek / GLM 默认接入 preset、模板、README 和参考文档。
  • 补充 reasoning-only mock 测试、完整用户流程模拟和敏感信息审计。

v1.2.8

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@dososo dososo released this 20 Jun 01:22

v1.2.8

重点修正

  • 新增一键接入命令:setup_model_pool.py connect 。
  • 新增 --store auto:macOS 使用 Keychain,Windows 使用 DPAPI 用户级加密,Linux 使用 Secret Service;不可用时提示环境变量兜底,不默认明文保存。
  • 健康检查和工作流模型调用支持 secret_ref,不再只依赖环境变量。
  • 首次安装引导改为“帮我接入模型 + 安全保存 Key”的用户路径。
  • README、SKILL、模板和参考文档同步更新跨平台安全 Key 存储说明。
  • 新增安全 Key 接入模拟测试,验证模型池 JSON 不写真实 Key。

验证

  • python3 -m py_compile scripts/*.py
  • python3 scripts/setup_model_pool.py connect deepseek --store auto --dry-run
  • python3 scripts/setup_model_pool.py connect deepseek --store env --api-key-env BLCAPTAIN_TEST_DEEPSEEK_KEY --config tests/runs/secure-connect-model-pool.json
  • python3 scripts/check_model_pool.py --config tests/runs/secure-connect-model-pool.json
  • python3 scripts/quick_validate.py
  • python3 scripts/simulate_user_flow.py
  • Codex 宽泛痛点 Cut-to-Go 工作流生成并通过 PRD 校验
  • 敏感信息、个人路径和无关参考痕迹审计通过

v1.2.7

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@dososo dososo released this 20 Jun 00:51

v1.2.7

重点修正

  • 新增首次运行模型 Agent 引导:安装后先展示支持的模型类型、推荐本地配置路径、密钥安全规则和健康检查命令。
  • 新增 scripts/setup_model_pool.py,支持 --doctor 和 --init,帮助新用户完成模型池 Bootstrap。
  • 新增模型 Agent 清单和首次运行参考文档,明确 OpenAI-compatible、CLI Agent、本地模型、Codex 主持的边界。
  • 新增痛点簇分析与 Cut-to-Go:宽泛 Watch/Pivot 机会会先收窄为可验证的最小商业切口,再决定是否生成 PRD。
  • 新增 Codex 宽泛痛点演练样本,验证可收窄到“新用户安装与多模型配置护航”并生成工程实施 PRD。

验证

  • python3 -m py_compile scripts/*.py
  • python3 scripts/quick_validate.py
  • python3 scripts/simulate_user_flow.py
  • python3 scripts/setup_model_pool.py --doctor --config tests/runs/new-user-model-pool.json
  • Codex 宽泛痛点 Cut-to-Go 工作流生成并通过 PRD 校验
  • 敏感信息、个人路径和无关参考痕迹审计通过

v1.2.6

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@dososo dososo released this 19 Jun 23:41

v1.2.6

Added

  • Added model-pool Bootstrap as the hard first stage for the end-to-end workflow.
  • Added CLI and OpenAI-compatible connection candidate discovery in model health checks.
  • Added structured --json-output support for model health checks.
  • Added Pivot-to-Go loop for opportunities that need a narrower cut before PRD generation.

Changed

  • Stopped run_opportunity_workflow.py at ConfigRequired when no external model passes the skill-owned model pool health check.
  • Restricted discussion execution to models registered in the model pool and passing health checks.
  • Updated Chinese and English docs to clarify that discovered candidates do not count as usable models until configured and checked.
  • Replaced plaintext-looking API key export examples with safer environment-variable guidance.

Verified

  • python3 -m py_compile scripts/*.py
  • python3 scripts/quick_validate.py
  • python3 scripts/simulate_user_flow.py
  • ConfigRequired workflow stops before evidence scan, discussion, Gate, or PRD generation
  • Go workflow generates and validates commercial + engineering PRD
  • Pivot-to-Go workflow preserves reverse evidence, reruns Gate, and validates generated PRD
  • Sensitive information and reference-trace audit

v1.2.5

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@dososo dososo released this 19 Jun 16:56

Added

  • Added a simpler Codex-assisted model setup path for new users.
  • Documented friendly prompts for connecting DeepSeek, GLM, Claude CLI, Gemini, Grok, and local CLI models.

Changed

  • Made Codex-assisted setup the recommended path in Chinese and English README files.
  • Updated model configuration guidance, health-check output, and simulation fixtures so users do not need to start by editing JSON manually.
  • Kept manual JSON configuration as the advanced fallback for users who want full control.

Verified

  • quick_validate passed.
  • simulate_user_flow passed.
  • Python compile checks passed.
  • New-user install simulation passed.
  • Sensitive information and reference-trace audit passed.