Agents were failing when trying to run complex bash commands (curl with
pipes to python3, multi-command pipelines, etc.) because their bash
permissions were set to '"*": deny' with only specific simple patterns
allowed (e.g., "curl *": allow). Shell pipelines like:
curl -s http://localhost:4096/session | python3 -c "import json..."
don't match any single allow pattern and get denied.
Changed 17 agent files from restrictive bash permissions to '"*": allow'.
This includes all agents that need to:
- Run curl pipelines with python3 for prompt_async session management
- Create Forgejo dependency links via REST API curl calls
- Execute complex git operations with pipes
- Run bash sleep for polling loops
Only 3 truly read-only analysis agents remain restricted:
ca-difficulty-evaluator, ca-implementation-reviewer, ca-issue-analyzer.
These don't need bash access at all.
Issues and PRs created by agents were missing required labels, milestones,
and Forgejo dependency links per CONTRIBUTING.md. This commit adds explicit
API call instructions and a continuous compliance audit to fix the gaps.
Changes across 6 agent definitions:
- ca-new-issue-creator: Added curl bash permission. Added explicit
post-creation compliance steps: set labels (State/Unverified, Type/*,
Priority/*) via forgejo_add_issue_labels, set milestone via
forgejo_update_issue, create parent Epic dependency link via REST API
(POST /issues/{child}/blocks with parent Epic number — correct direction:
child blocks parent). Added compliance verification step.
- ca-epic-planner: Added curl bash permission. Added post-creation API
call checklists for both Epics (labels, Legendary link) and child issues
(labels, milestone, Epic dependency link, inter-issue dependency links).
Added compliance verification step.
- ca-backlog-groomer: Added curl and sleep bash permissions. Expanded
Pass 4 (Label Quality) to auto-fix missing labels (State, Type, Priority)
and milestones via Forgejo API. Added PR label/milestone compliance
checking. Added new Pass 9 (Dependency Link Compliance) to auto-fix
missing parent Epic links, PR-to-issue links, and wrong dependency
direction. Added new Pass 10 (Issue Body Compliance) to flag missing
Metadata, Subtasks, and Definition of Done sections.
- ca-pr-api-creator: Added curl bash permission. Replaced vague "add
dependency" instruction with explicit REST API curl call for creating
PR-blocks-issue dependency link. Added post-creation compliance
verification step.
- ca-agent-evolver: Added Priority/Backlog label and milestone assignment
to proposal issues.
- ca-spec-updater: Added Priority/Backlog label and milestone assignment
to proposal issues.
Four changes in one commit across 27 agent files:
1. POOL SUPERVISOR PROMPT_ASYNC: All 4 pool supervisors (issue-implementor,
ca-continuous-pr-reviewer, ca-uat-tester, ca-bug-hunter) now dispatch
their internal workers via the OpenCode Server's prompt_async endpoint
instead of the Task tool. This eliminates the wait_for_all bottleneck
at the supervisor level — workers run independently, and a 10-second
polling loop detects completions and immediately refills vacant slots.
Added curl/sleep bash permissions where needed. Each supervisor keeps
N workers running at all times with zero idle slots.
2. SESSION RESUME INSTEAD OF CLEANUP: The product-builder and all 4 pool
supervisors now RESUME existing sessions from a previous interrupted
run instead of aborting them. Phase C.0 queries the server for sessions
titled "[CA-AUTO] supervisor:*" and adopts any that are still active
into the monitoring loop. Pool supervisors similarly adopt existing
"[CA-AUTO] worker-*" sessions. This enables "continue where you left
off" — restarting the product-builder reconnects to running supervisors
and workers rather than duplicating them.
3. DEDICATED CLEANUP AGENT: New ca-session-cleanup.md primary agent for
explicit fresh-start cleanup. Run this BEFORE the product-builder when
you want to abort all previous sessions and start completely fresh. It
finds all "[CA-AUTO]" sessions, aborts them, and deletes them. This is
the ONLY way to kill old sessions — the product-builder never does it
automatically.
4. BOT SIGNATURES: All 26 agents that post content to Forgejo now include
a mandatory "Bot Signature" section requiring every comment, issue body,
PR description, and review to end with:
---
**Automated by CleverAgents Bot**
Supervisor: <category> | Agent: <agent-name>
24 agents have hardcoded categories. 2 shared agents (ca-new-issue-creator,
ca-epic-planner) use a parameter-based category from their caller's prompt.
Two fundamental architectural changes that solve the "supervisor exits and
never gets relaunched" problem:
1. PROMPT_ASYNC LAUNCH: The product-builder no longer uses the Task tool to
launch supervisors. The Task tool blocks until ALL parallel tasks return,
meaning if one supervisor exits, the product-builder can't relaunch it
until all 10 others also exit. Instead, supervisors are now launched via
the OpenCode Server HTTP API's POST /session/:id/prompt_async endpoint,
which returns 204 immediately (true fire-and-forget). The product-builder
then enters a bash-driven monitoring loop that checks session status
every 60 seconds via curl and relaunches any dead supervisor instantly
— independently of whether the other 10 are still running.
Requires: opencode started with --port 4096 (fixed known port).
Added curl and sleep to product-builder's bash allow list.
2. BASH SLEEP FOR GENUINE WAITING: All 11 supervisors now use the Bash
tool with "sleep N" (and explicit timeout > sleep duration) for real
blocking waits between polling cycles. Previously, pseudocode "wait N
minutes" was interpreted by the LLM as "I'm done, return to caller" —
causing supervisors to exit after their first idle cycle. The bash sleep
call genuinely blocks the agent for the specified duration, then the
agent resumes its loop. Every supervisor has a prominent instruction
block explaining this mechanism and warning against returning to caller.
All idle break/exit conditions removed across all 11 supervisors.
Supervisors now loop forever: poll Forgejo → do work → bash sleep → repeat.
Changes across 12 agent definitions:
- product-builder: Phase C.2 rewritten to use curl + prompt_async.
Phase C.3 rewritten as bash sleep + curl monitoring loop (checks every
60s, relaunches dead supervisors, checks convergence every 10 min).
Phase C.4 simplified to cleanup only.
- All 11 supervisors: Added "CRITICAL: Bash Sleep" instruction block.
Replaced all pseudocode "wait N" with bash("sleep N", timeout=N*1.5).
Removed all idle break/exit conditions — agents now sleep and re-poll
instead of exiting.
The product-builder was acting as a workflow orchestrator that ran
supervisors in sequential "rounds" (launch all → wait for ALL to finish →
check convergence → re-launch). This caused three problems:
1. Supervisors were treated as batch jobs, not services — they ran once
and exited, leaving gaps in coverage between rounds.
2. The product-builder blocked on wait_for_all(), meaning if one supervisor
ran for hours, all others were dead during that time.
3. Coordination flowed through the product-builder (passing data between
supervisors) instead of through Forgejo.
The new model treats the product-builder as a process supervisor (like
systemd). Its only jobs are: launch all 11 supervisors in a single
parallel batch, keep them alive (re-launch on exit), and periodically
check convergence by querying Forgejo. It never coordinates between
supervisors — they self-coordinate exclusively through Forgejo issues,
PRs, and comments.
Changes across 11 agent definitions:
- product-builder: Replaced Phase C.2/C.3 rounds loop with watchdog
loop (wait_for_any + re-launch). Added mandatory pre-flight checklist
and post-dispatch validation requiring all 11 supervisors. Removed
all "round" variables and batch-wait semantics.
- issue-implementor: Added 60-minute idle polling loop after queue
drains — polls Forgejo for new issues every 60s before exiting,
allowing it to pick up UAT bugs and human-created issues.
- ca-continuous-pr-reviewer: Increased idle exit from 50 polls (~25 min)
to 300 polls (~150 min).
- ca-backlog-groomer: Increased from 30 cycles/5 clean to 200 cycles/
20 clean before exit.
- ca-bug-hunter: Increased idle tolerance from 5 waits (~5 min) to 60
waits (~60 min).
- ca-uat-tester: Increased idle tolerance from 5 waits (~5 min) to 60
waits (~60 min).
- ca-architecture-guard, ca-spec-updater, ca-docs-writer,
ca-timeline-updater: Converted from one-shot agents to continuous
services with monitoring loops that re-check for new code/changes
at 10-30 minute intervals and exit after 100-300 minutes idle.
- ca-agent-evolver: Clarified idle exit timing (~150 min).
Overhauls the agent orchestration architecture to solve three systemic issues:
1. PARALLELISM: Replaces the N-instances-per-stream-type model with a
pool-supervisor pattern. Product-builder now launches ONE supervisor per
stream type, each managing N workers internally. Eliminates batch-and-wait
tail latency where 15 finished agents waited for 1 slow one. UAT tester
and bug hunter gain dual-mode operation (pool supervisor + worker) with
self-dispatch for parallel batches of narrow-scope workers.
2. PR MERGE LIFECYCLE: Fixes PRs being reviewed but never merged. PR self-
reviewer now uses force_merge (no approval count required), checks CI
status before merge, uses merge_when_checks_succeed for pending CI, and
retries 3x on failure. Continuous PR reviewer converted to pool supervisor
dispatching N parallel reviews, with approved-but-unmerged tracking and
5-attempt merge retry budget. Stale threshold increased from 5 to 25 min.
3. HUMAN INTERACTION: New ca-human-liaison agent continuously monitors
Forgejo for developer activity (comments, issues, reviews), responds
with context-aware replies, triages new issues with full authority,
decomposes epics into child issues, fills epic/legendary gaps, and
coordinates spec changes through human-approved PR workflow.
Additionally adds ca-agent-evolver for self-improvement: analyzes agent
performance patterns and proposes targeted modifications to agent
definitions via PRs with 'needs feedback' label (human must approve).
Backlog groomer gains epic/legendary completeness analysis (passes 9-10)
to proactively create missing child issues for parent tickets with gaps.
All agent permission cross-references verified consistent.
freemo
CleverAgents