diagnose-stall

diagnose-stall is a cursor rule for Cursor from danielvm-git/bigpowers. It costs 43 tokens per session (609 once invoked), scanned A, original, MIT.

Diagnose why agent orchestration stopped producing progress — silent stalls in /loop, dispatch-agents, or execute-plan. Use when work appears hung, no output for several minutes, or a subagent never returned.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/danielvm-git/bigpowers/diagnose-stall
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for diagnose-stall

README.md
[![agentmods](https://agentmods.dev/badge/rules/danielvm-git/bigpowers/diagnose-stall.svg)](https://agentmods.dev/rules/danielvm-git/bigpowers/diagnose-stall)
Your own site
<a href="https://agentmods.dev/rules/danielvm-git/bigpowers/diagnose-stall"><img src="https://agentmods.dev/badge/rules/danielvm-git/bigpowers/diagnose-stall.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.00609
Opus 5 $0.00022 $0.00304
Sonnet 5 $0.00009 $0.00122
Haiku 4.5 $0.00004 $0.00061

Measured today against content hash 529fc005b71f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

diagnose-stall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/diagnose-stall.mdc · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diagnose Stall

HARD GATE — Do NOT restart work blindly. Run this diagnostic first when orchestration goes quiet without an explicit terminal state.

Explicit handler for silent stalls in long-running agent workflows (/loop, dispatch-agents, execute-plan, build-epic resume mode).

Stall signals

Signal Likely cause
No stdout for >5 min on a monitored loop tick Sleep/watcher misconfigured or prompt never re-armed
Subagent dispatched but no completion message Agent hung, blocked on approval, or scope too large
dispatch-agents cycle 3 reached with gaps Circuit exhausted — needs human escalation
Verify command running >15 min Missing timeout or waiting on external service
handoff.next_skill unchanged across turns Prior skill never wrote handoff

Process

  1. Read statespecs/state.yaml: handoff.next_skill, active_flow, metrics.story_start, open decisions.
  2. Check locksbash scripts/check-stale-locks.sh if present; read specs/agent-locks.yaml.
  3. Inspect terminals — list background shells; note PIDs, last output timestamp, exit codes.
  4. Classify stall type:
    • waiting_approval — tool blocked on user consent
    • blocked_dependency — prior task incomplete or red gate
    • agent_exhausted — max iterations/cycles reached
    • misconfigured_loop — duplicate sentinel, wrong regex, or sleeper not re-armed
    • external_io — network, CI, or deploy wait without timeout
    • unknown — escalate with evidence bundle
  5. Recommend recovery — one action only (resume, kill PID, re-dispatch with smaller brief, escalate to user).
  6. Write reportspecs/verifications/STALL-<timestamp>.md with classification, evidence, and recommended next skill.

Integration

Caller When to invoke
/loop (Cursor) After two consecutive ticks with no observable progress
dispatch-agents When a wave exceeds expected duration with zero returns
execute-plan When a step checkpoint is overdue
User "Why did this stop?" / "Nothing is happening"

Read the full file on GitHub · 54 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 54 lines · 43 tokens per session scan A 529fc005b71f

Subscribe to this mod's changes

diagnose-stall is a cursor rule published in the GitHub repository danielvm-git/bigpowers (162 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 609 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.