CLI-first Agent workflow review and experience incubation layer.
It reviews real Codex session JSONL and produces auditable improvement candidates for MCP tools, skills, subagent patterns, and debug-runbook seeds. It is not a dashboard and does not auto-publish workflow changes.
git clone https://github.com/UnCooe/agent-workflow-review.git
cd agent-workflow-review
uv run pytestRun the bundled redacted demo:
uv run session-review review \
--profile examples/session-review/review-profile.toml \
--reviewer-pack examples/session-review/reviewer-pack.toml \
--session examples/session-review/sessions/redacted-session.jsonl
uv run session-review extract \
--packets .codex-local/session-review/review-packets.json
uv run session-review list-candidates \
--candidates .codex-local/session-review/improvement-candidates.jsonStage and export a candidate after manual review:
uv run session-review decide \
--candidates .codex-local/session-review/improvement-candidates.json \
--candidate <candidate_id> \
--decision staged \
--reason "manual review passed"
uv run session-review export \
--candidates .codex-local/session-review/improvement-candidates.json \
--candidate <candidate_id> \
--target debug_runbook_seedInitialize a project-local workspace:
uv run session-review init --target /path/to/your-projectThis creates:
.session-review/
review-profile.toml
reviewer-pack.toml
.gitignore
output/
exports/
Edit .session-review/reviewer-pack.toml to describe your project-specific MCP
tools, shell tools, subagent tools, skills, and task families. Then run:
uv run session-review review \
--profile /path/to/your-project/.session-review/review-profile.toml \
--reviewer-pack /path/to/your-project/.session-review/reviewer-pack.toml \
--since-days 7By default, auto-discovery tries to review only sessions that match the current project root. If project ownership cannot be confirmed, the session is skipped and a parser warning is recorded.
session-review init: create a project-local.session-review/workspace.session-review review: parse Codex session JSONL into cases, packets, findings, a Markdown report, and debug artifact.session-review extract: aggregate findings into improvement candidates.session-review list-candidates: print candidates as a table or JSON.session-review decide: record a manual lifecycle decision.session-review export: export a staged/promoteddebug_runbook_seeddraft.
include_raw_text=falseby default.- User and assistant text is stored as hash and character count, not raw prompt snippets.
- Sensitive identifiers and paths are hashed.
- Raw source material is referenced through
RawRef. - Reports and candidates are designed to avoid raw prompt text.
This project only exports debug_runbook_seed drafts after manual staging or
promotion. It does not register, sync, execute, or publish runbooks.
- No LLM reviewer in v0.1.
- No dashboard.
- No automatic publishing.
- No direct
debug-runbookruntime integration. - No automatic skill, MCP, subagent, hook, or runbook changes.
- No cross-project automatic experience migration.