agent-transcript

openclaw/openclaw · Agent Skill

在 OpenClaw 代理建立的 PR/issue 工作流程中,將已編輯的代理記錄新增到 GitHub PR 或 issue 正文中。

前往安裝 ↓

總覽

發布者openclaw組織
儲存庫openclaw/openclaw ↗
技能資料夾agent-transcript
星389,030
附帶檔案1
授權MIT
最近更新2026年5月25日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
中等風險 · 發現 1 個需要注意的地方
相容性
僅含說明 — 適用於多數代理
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安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “agent-transcript” skill from mozgi.io (https://mozgi.io/skills/agent-transcript/) for me.

1. Download the archive: https://mozgi.io/skills/agent-transcript/download
   If it fails, take the skill folder from the source: https://github.com/openclaw/openclaw/tree/main/.agents/skills/agent-transcript
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “agent-transcript” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/agent-transcript/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Agent Transcript

Use only when the user explicitly requests a transcript or preview. Omit by

default; never offer one or ask whether to include one during ordinary PR work.

A preview request alone does not authorize publication.

Prepare Locally

The helper reads local Codex, Claude, Pi, and OpenClaw logs; no network is used

for discovery/rendering. Never upload raw logs.

.agents/skills/agent-transcript/scripts/agent-transcript find \
  --query "$PR_TITLE $BRANCH_OR_PR_URL" --cwd "$PWD" --since-days 14
.agents/skills/agent-transcript/scripts/agent-transcript render \
  --session "$SESSION_JSONL" --out /tmp/agent-transcript.md

find scans the newest 400 matching logs by default; --max-files N widens

local discovery. Treat matches as candidates, not proof of scope.

Automatically trim the rendered Markdown **before showing, previewing, or

inserting it**. Keep only task-relevant user prompts, visible decisions, terse

tool summaries, and proof outcomes. Use the PR/issue goal, branch, and changed

files to remove unrelated earlier/later turns. Drop system/developer prompts,

reasoning, raw tool output, environment data, local paths, credentials,

browser/session/cookie details, and auth URLs. Inspect the trimmed result;

helper redaction is not sufficient disclosure review. Unresolved sensitive

content means omit the transcript.

Preview And Insert

Show the trimmed Markdown for a requested preview. If HTML is requested, build

the local preview from that trimmed content. The helper's preview, html, and

append-body modes render the session again; they do not consume an edited

Markdown file and can reintroduce removed turns. Do not use their untrimmed

output as the approved artifact.

Insert only the inspected, scoped text when the user's authorization specifically

covers publishing that transcript to the named PR/issue. Generating or previewing

a transcript does not authorize publication, even when ordinary PR creation or

editing is already approved. If that scope is missing, show the trimmed result

and obtain publication authorization before insertion. Existing explicit

authorization covering transcript publication needs no repeat confirmation.

Keep the collapsed <details> section and replace existing transcript markers

instead of duplicating them. No safe match means continue the PR work without

transcript or placeholder; explain the omission when it prevents the explicitly

requested transcript. Do not promote transcript inclusion as a review priority

requirement.

常見問題

agent-transcript 技能有什麼用途?

在 OpenClaw 代理建立的 PR/issue 工作流程中,將已編輯的代理記錄新增到 GitHub PR 或 issue 正文中。

如何安裝 agent-transcript?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

agent-transcript 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 agent-transcript 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

agent-transcript 是免費的嗎?

此技能由 openclaw 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

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