Attach redacted agent transcripts to GitHub PRs or issues for local provenance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "agent-transcript" skill from askskill: 1. Download https://raw.githubusercontent.com/openclaw/agent-skills/main/skills/agent-transcript/SKILL.md 2. Save it as ~/.claude/skills/agent-transcript/SKILL.md 3. Reload skills and tell me it's ready
Please format this OpenClaw workflow's agent session into a redacted transcript and append it to the current GitHub PR body as local-only provenance, removing secrets, emails, and internal URLs.
An updated PR body containing a redacted session transcript and clear provenance notes.
Generate a redacted transcript of the agent's key troubleshooting actions and add it to the GitHub issue body for local audit and issue tracking.
An updated issue body with a concise troubleshooting summary and redacted action transcript.
Before attaching the agent session to a GitHub PR, run a redaction check to ensure it contains no tokens, usernames, file paths, or customer data, then write it into the body.
A safely attachable session transcript with sensitive information removed.
Best-effort local-only provenance for OpenClaw PR/issue bodies. Use during agent-created GitHub PR or issue workflows before creating/updating the body.
render or append-body produced it.## Agent Transcript section only when inserting a real transcript. Never add a placeholder transcript heading or text such as "A sanitized local transcript preview was generated but not included."<details> section and update existing markers instead of duplicating sections.skills/agent-transcript/scripts/agent-transcript --help
Find a likely local session:
skills/agent-transcript/scripts/agent-transcript find \
--query "$PR_TITLE $BRANCH_OR_PR_URL" \
--cwd "$PWD" \
--since-days 14
find scans the newest 400 matching local JSONL logs by default across Codex, Claude, Pi, and OpenClaw agent sessions. Use --max-files N for a wider local search.
In a downstream repo that syncs shared skills under .agents/skills, replace
skills/agent-transcript with .agents/skills/agent-transcript.
Render a PR/issue body section:
skills/agent-transcript/scripts/agent-transcript render \
--session "$SESSION_JSONL" \
--out /tmp/agent-transcript.md
Preview one candidate session locally:
skills/agent-transcript/scripts/agent-transcript preview \
--session "$SESSION_JSONL" \
--out /tmp/agent-transcript-preview.html
open /tmp/agent-transcript-preview.html
Append/update a body file before gh pr create --body-file or connector PR creation:
skills/agent-transcript/scripts/agent-transcript append-body \
--body /tmp/pr-body.md \
--session "$SESSION_JSONL" \
--out /tmp/pr-body.with-transcript.md
find with title, branch, PR URL/number if known, and cwd.Include a redacted agent transcript? It helps reviewers and can make the PR easier to prioritize. I can open a local preview first.preview, open the HTML with open, and wait for confirmation.## Agent Transcript section before showing it to the user or inserting it publicly. Keep only turns that explain this PR/issue's goal, implementation choices, files, tests, proof, blockers, and final outcome.…
Create a path-free handoff prompt another agent can immediately use.
Render AI session JSONL logs into searchable, shareable single-file HTML viewers.
Run cross-platform OpenClaw remote validation with provider and lease reporting.
Run a structured code review before commit or release on local or PR branches.
Convert text to speech locally and offline with sherpa-onnx, no cloud needed.
Triage inbox messages, route intents, track replies, and generate follow-up summaries.
Automatically add redacted agent transcripts to GitHub PRs or issues.
Issue and verify signed, timestamped provenance receipts for agent actions.
Enable private agent messaging, hidden state exchange, delegation, and inbox workflows.
Convert Lighthouse audits into fix packs for coding agents.
Turn narrated screen recordings into transcripts, keyframes, OCR, and agent-ready data.
Create tamper-evident audit trails and observability records for AI agents.