collect-transcripts
Ingest raw session transcripts from coding-agent harnesses via vendor-specific adapters, normalize to a common event schema, triage for struggle signals, and…
Skill by jankneumann
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jankneumann-collect-transcripts
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, agent-building
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/collect-transcripts
What's inside
- Skill name
collect-transcripts- Description
- Ingest raw session transcripts from coding-agent harnesses via vendor-specific adapters, normalize to a common event schema, triage for struggle signals, and write structured findings to episodic memory
- License
- MIT
- Instructions
- 84 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (37)
- SKILL.md
- config.yaml.example
- deep_analysis_v1.md · prompts/
- triage_v1.md · prompts/
- event-schema.md · references/
- __init__.py · scripts/adapters/
- antigravity_cli.py · scripts/adapters/
- base.py · scripts/adapters/
- claude_code_cli.py · scripts/adapters/
- claude_code_web.py · scripts/adapters/
- codex_cli.py · scripts/adapters/
- codex_web.py · scripts/adapters/
- grok_cli.py · scripts/adapters/
- pi_cli.py · scripts/adapters/
- deep_analyze.py · scripts/
- normalize.py · scripts/
- sanitize_events.py · scripts/
- triage.py · scripts/
- __init__.py · tests/
- sess-agy-001.jsonl · tests/fixtures/antigravity_cli/
- session-abc123.jsonl · tests/fixtures/claude_code_cli/
- rollout-1714560000-sess-xyz789.jsonl · tests/fixtures/codex_cli/
- session-2026-05-01T10-00-grok01.jsonl · tests/fixtures/grok_cli/
- session-2026-05-01T10-00-pi0001.ndjson · tests/fixtures/pi_cli/
- test_adapter_base.py · tests/
- test_antigravity_cli.py · tests/
- test_claude_code_cli.py · tests/
- test_claude_code_web.py · tests/
- test_codex_cli.py · tests/
- test_codex_web.py · tests/
- test_deep_analyze.py · tests/
- test_end_to_end.py · tests/
- test_grok_cli.py · tests/
- test_normalize.py · tests/
- test_pi_cli.py · tests/
- test_sanitize_events.py · tests/
- test_triage.py · tests/
SKILL.md (first lines)
# Collect Transcripts Ingest raw session transcripts from supported coding-agent harnesses via vendor-specific adapters, normalize them to a common event schema, triage for struggle signals, and run deep analysis on flagged sessions. Findings are written to episodic memory using the D4 tag schema with `source:transcript-mined`. ## Arguments `$ARGUMENTS` - Optional flags: - `--adapter <name>` (claude_code_cli, claude_code_web, codex_cli, codex_web, antigravity_cli, grok_cli, pi_cli; default: all available) - `--threshold <float>` (composite score threshold for deep analysis; default: 5.0) - `--dry-run` (print planned operations without API calls; default in CI) - `--enable` (opt-in to actually run LLM analysis; required to make API calls) ## Adapters | Adapter | Source | Schema Version | |---------|--------|---------------| | `claude_code_cli` | `~/.claude/projects/<encoded-cwd>/<session-id>.jsonl` | 1.0 | | `claude_code_web` | CLI bridge via `claude --teleport <session-id>` | 1.0 | | `codex_cli` | `$CODEX_HOME/sessions/YYYY/MM/DD/rollout-*.jsonl` | rollout-v1 | | `codex_web` | CLI bridge via `codex cloud` | rollout-v1 | | `antigravity_cli` | `~/.antigravity/projects/<encoded-cwd>/<session-id>.jsonl` | 1.0 | | `grok_cli` | `~/.grok/sessions/session-*.jsonl` | grok-session-v1 | | `pi_cli` | `~/.pi/sessions/session-*.ndjson` | pi-ndjson-v1 | All adapters fail soft (log warning, skip) when their source is unavailable. ## Pipeline ``` 1. Discover sessions (per adapter) 2. Normalize to NormalizedEvent schema 3. Sanitize (secrets, entropy, paths) — BEFORE any LLM sees content 4. Triage (score for struggle signals: retries, errors, scope violations, corrections) 5. Deep analyze (flagged sessions only — heuristic or LLM) 6. Write findings to episodic memory (D4 tag schema, source:transcript-mined) ``` ## How It Works 1. **Discovery**: Each adapter enumerates available sessions from its source 2. **Normalization**: Raw vendor events -> NormalizedEvent (common schema in `references/event-schema.md`) 3. **Sanitization**: Reuses `session-log` sanitizer extended for tool-call arguments and tool-result outputs 4. **Triage**: Scores each session on retry_count, tool_error_count, scope_violation_count, user_correction_count 5. **Deep Analysis**: Runs on flagged sessions (composite score >= threshold), extracts structured findings 6. **Memory**: Findings written with D4 tags (`failure_type:*`, `capability_gap:*`, etc.) + `source:transcript-mined` ## Model Resolution - **Triage**: archetype `analyst` (standard tier), configurable via `config.yaml: triage.archetype` - **Deep analysis**: archetype `reviewer` (premium tier), configurable via `config.yaml: deep_analysis.archetype` - Both resolve via `agents_config.resolve_model()` from the coordinator ## Prerequisites - Python 3.11+ - At least one harness's sessions directory accessible on disk - For web adapters: vendor CLI installed and authenticated ## Steps ### 1. Discover and Normalize ```bash python3 <agent-skills-dir>/collect-transcripts/scripts/adapters/claude_code_cli.py ``` ### 2. Triage ```bash python3 <agent-skills-dir>/collect-transcripts/scripts/triage.py \ --events-dir docs/transcripts/$(date +%Y-%m-%d)/ \ --threshold 5.0 \ --dry-run ``` ### 3. Deep Analysis (flagged sessions only) ```bash python3 <agent-skills-dir>/collect-transcripts/scripts/deep_analyze.py \ --events-file docs/transcripts/2026-06-01/session-abc.jsonl \ --dry-run ```
From jankneumann/agentic-coding-tools, MIT.
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Signals
- Stars
- 4
- Forks
- 1
- Open issues
- 129
- Last commit (this folder)
- Sep 18, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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autopilot-roadmap
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Cite this page
collect-transcripts skill. Agent Mart. https://agentmart.dev/skills/jankneumann-collect-transcripts (last updated 2026-10-24)