You are auditing an agent session for process quality. Your working directory is /workspace.

DO NOT call any graph tools, skill tools, or memory tools. The transcript is already embedded below.
Use workspace_bash to run the flow CLI commands. workspace_bash is available — use it.

Session metadata

Title: implement/sc-taskify-complete-task
Job: implement
Scenario: sc-taskify-complete-task
Messages: 17
Status: stop

Transcript

[USER]
Implement scenario sc-taskify-complete-task. Your working directory is /workspace. Branch implement/sc-taskify-complete-task is already checked out. GITHUB_TOKEN, FLOW_TOKEN, FLOW_SERVER_URL, FLOW_GITHUB_OWNER, FLOW_GITHUB_REPO, FLOW_PLAN_BRANCH_NAME are injected as env vars. Use workspace tools to implement. Use flow git-proxy git push and flow git-proxy gh pr create for git operations — auth is handled automatically. Do NOT call trigger_agent, spawn_agents, or list_available_agents. Push with flow git-proxy git push --force-with-lease origin implement/sc-taskify-complete-task and open a PR with flow git-proxy gh pr create --title "implement: sc-taskify-complete-task" --body "Implements sc-taskify-complete-task" --base main --head implement/sc-taskify-complete-task (exit 0 whether new or already exists).

Session context (do not rediscover — use these values directly)

• Scenario key: sc-taskify-complete-task
• Implement branch: implement/sc-taskify-complete-task (already checked out — do NOT run git checkout)
• Plan branch: plan/main (FLOW_PLAN_BRANCH_NAME is already set in env)
• GitHub repo: https://github.com/emergent-company/taskify-api
• FLOW_TOKEN: flt_0fa3f97d166559bd9160cc4aa95160842441c5b1

Scenario graph: sc-taskify-complete-task

[Scenario] sc-taskify-complete-task
-[has]-> [ScenarioStep] step-taskify-complete-task-request "Client sends PATCH /tasks/{id}/complete and receives the updated task with compl..." [not_existing]
-[acted_by]-> [Actor] actor-user "User" [not_existing]
-[belongs_to]-> [Domain] domain-task "Task" [not_existing]
-[occurs_in]-> [Context] ctx-taskify-complete-task "PATCH /tasks/{id}/complete endpoint"
-[requires]-> [APIEndpoint] ep-taskify-complete-task (file=handler/tasks.go, handler=HandleCompleteTask, method=PATCH, path=/tasks/{id}/complete)
-[calls]-> [ServiceMethod] svc-taskify-complete "CompleteTask" (file=service/tasks.go)
-[uses]-> [SQLQuery] sq-complete-task "CompleteTask" (file=db/queries/tasks.sql)

Follow these instructions:

Memory sandbox implementation rules

Environment

Branch already checked out at /workspace. Tools: workspace_bash, workspace_read, workspace_write, workspace_edit, workspace_glob, workspace_grep, workspace_git.

FLOW_TOKEN and FLOW_SERVER_URL are env vars. Use flow git-proxy for all git/gh operations — it handles GitHub App auth automatically. Do NOT use git remote set-url, do NOT use raw GITHUB_TOKEN.

CRITICAL: Do NOT call agent tools

Do NOT call list_available_agents, spawn_agents, trigger_agent, search-knowledge, skill, or skill-get.

Steps

1. Read scenario from pre-injected graph in prompt.
2. Write code files with workspace_write/workspace_edit.
3. Commit: git add -A && git commit -m "implement: <key>"
4. Push: flow git-proxy git push --force-with-lease origin <branch>
5. PR: flow git-proxy gh pr create --title "implement: <key>" --body "Implements <key>" --base main --head <branch> — exit 0 whether new or already exists.
6. Stop.

Follow these instructions:

---

name: caveman
description: >
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman
while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra,
wenyan-lite, wenyan-full, wenyan-ultra.
Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens",
"be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

Respond terse like smart caveman. All technical substance stay. Only fluff die.

Persistence

ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode".

Default: full. Switch: /caveman lite|full|ultra.

Rules

Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Technical terms exact. Code blocks unchanged. Errors quoted exact.

Pattern: [thing] [action] [reason]. [next step].

Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..."
Yes: "Bug in auth middleware. Token expiry check use < not <=. Fix:"

Intensity

Level	What change
lite	No filler/hedging. Keep articles + full sentences. Professional but tight
full	Drop articles, fragments OK, short synonyms. Classic caveman
ultra	Abbreviate (DB/auth/config/req/res/fn/impl), strip conjunctions, arrows for causality (X → Y), one word when one word enough
wenyan-lite	Semi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-full	Maximum classical terseness. Fully 文言文. 80-90% character reduction. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其)
wenyan-ultra	Extreme abbreviation while keeping classical Chinese feel. Maximum compression, ultra terse

Example — "Why React component re-render?"

• lite: "Your component re-renders because you create a new object reference each render. Wrap it in useMemo."
• full: "New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."
• ultra: "Inline obj prop → new ref → re-render. useMemo."

Auto-Clarity

Drop caveman for: security warnings, irreversible action confirmations, multi-step sequences where fragment order risks misread, user asks to clarify or repeats question. Resume caveman after clear part done.

Boundaries

Code/commits/PRs: write normal. "stop caveman" or "normal mode": revert. Level persist until changed or session end.

[ASSISTANT]
Code implemented. Git push failed via proxy due to token error. PR creation failed due to token error. Manual intervention required for auth. Stop.

Your task

Read the transcript above. Assess process quality only (not what was built):

1. Did the agent use flow CLI correctly? Any misuse, wrong flags, wrong order?
2. Crashes, errors, retries? How many repeated commands?
3. Did the agent follow skill instructions? Where did it deviate?
4. Was the session efficient? Unnecessary loops, redundant reads, wasted turns?
5. Rate: excellent / good / needs-improvement / poor

Step 1 — Record findings with workspace_bash:

Run this as a single workspace_bash command:

export FLOW_TOKEN=flt_0fa3f97d166559bd9160cc4aa95160842441c5b1
export FLOW_SERVER_URL=https://flow-dev.emergent-company.ai
flow report analyze as-efa9fb6f --notes "YOUR 2-3 SENTENCE SUMMARY" --findings "finding1|finding2|finding3" --type process --analyst auto

The output will print an asa key like "asa-XXXXXXXX-N". Use it in Step 2.

Step 2 — Record feedback items with workspace_bash (skip if no issues):

flow report feedback <asa-key-from-step-1> --items "target:category:severity:summary|..."

Targets: flow-cli | skill: | opencode | prompt-design | process-design
Categories: crash | misuse | inefficiency | retry-loop | wrong-order | missing-guidance
Severities: high | medium | low

Stop after Step 2.