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 | |
|---|---|
| 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.
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .claude/skills cp -r /tmp/openclaw/.agents/skills/agent-transcript .claude/skills/agent-transcript
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/agent-transcript。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .agents/skills cp -r /tmp/openclaw/.agents/skills/agent-transcript .agents/skills/agent-transcript
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $agent-transcript 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .cursor/skills cp -r /tmp/openclaw/.agents/skills/agent-transcript .cursor/skills/agent-transcript
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .gemini/skills cp -r /tmp/openclaw/.agents/skills/agent-transcript .gemini/skills/agent-transcript
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Agent Transcript
Use only when the user explicitly requests a transcript or preview. Omit by
default; never offer one or ask whether to include one during ordinary PR work.
A preview request alone does not authorize publication.
Prepare Locally
The helper reads local Codex, Claude, Pi, and OpenClaw logs; no network is used
for discovery/rendering. Never upload raw logs.
.agents/skills/agent-transcript/scripts/agent-transcript find \
--query "$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。