parallel-impl-agent-dies-mid-stream-verify-working-tree

parallel-impl-agent-dies-mid-stream-verify-working-tree is a skill for Claude Code from wan-huiyan/agent-traffic-control. It costs 498 tokens per session (2,481 once invoked), scanned A, original, MIT.

A troubleshooting guide for parallel coding agents, where multiple assistants edit separate parts of one code repository at the same time.

In plain words
What is it for?
It is for checking the working tree and expected files after an implementation agent stalls, errors, or returns an empty result before merging work.
Why use it?
It prevents a reported “completed” task from being trusted when an agent actually stopped early and left no changes.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents; mentions Claude Code.

Part of the agent-traffic-control plugin — 105 skills shipped together

Good fit It is for checking the working tree and expected files after an implementation agent stalls, errors, or returns an empty result before merging work.

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Install with agentmods
npx agentmods add skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree
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.

Any agent
npx skills add wan-huiyan/agent-traffic-control --skill parallel-impl-agent-dies-mid-stream-verify-working-tree
Clone the repo
git clone --depth 1 https://github.com/wan-huiyan/agent-traffic-control

Made for: Claude Code.

Or install agent-traffic-control, the plugin that ships this one along with the rest of its 105 skills.

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 parallel-impl-agent-dies-mid-stream-verify-working-tree

README.md
[![agentmods](https://agentmods.dev/badge/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree/github.svg)](https://agentmods.dev/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree)
Your own site
<a href="https://agentmods.dev/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree"><img src="https://agentmods.dev/badge/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree"><img src="https://agentmods.dev/badge/skills/wan-huiyan/agent-traffic-control/parallel-impl-agent-dies-mid-stream-verify-working-tree.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 498 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,481 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00498 $0.02481
Opus 5 $0.00249 $0.01241
Sonnet 5 $0.00100 $0.00496
Haiku 4.5 $0.00050 $0.00248

Measured 10d ago against content hash b0a028f94792, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

parallel-impl-agent-dies-mid-stream-verify-working-tree 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 10d ago.

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.

plugins/agent-traffic-control/skills/parallel-impl-agent-dies-mid-stream-verify-working-tree/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel impl agent dies mid-stream — verify the working tree, not "completed"

Problem

You dispatch N foreground implementation agents in parallel (disjoint files). One comes back with API Error: Response stalled mid-stream (or an empty/truncated report), and the harness may even emit a background " completed (exit code 0)" line. If you trust that and integrate, you ship a hole: the agent wrote NOTHING — its target route is untouched, no test file exists, the todos it created for itself are all still pending.

Context / Trigger Conditions

  • 2+ parallel Agent/Task impl agents editing code in one repo.
  • One returns a stall/timeout/empty final message; subagent_tokens ~0; a "completed" status.
  • You're about to run a combined git add/commit or a whole-repo check across both outputs.

Solution

  1. Reconcile claimed-vs-actual before integrating. For each agent: git status --short and grep its target for the expected change (e.g. grep -n generateChineseText route.ts). A missing edit + no new test file = the agent died; "completed (exit 0)" was the harness reporting the shell wrapper exited, NOT the work landing.
  2. Don't try to revive a dead foreground agent — finish its task yourself. Unlike a credit-stall suspension, a mid-stream API death leaves no resumable state. You have full context; do it in the main loop (or redispatch a fresh agent with the same brief).
  3. It degrades gracefully because of the orchestration guardrails: agents do NOT commit and do NOT run whole-repo type-check (avoids git-index races + cross-agent tsc false-positives on half-written files); the orchestrator does path-scoped git add <exact files> per unit + the full check at integration. So the survivor's work is clean and committable independent of the casualty.

Variant: the agent died but the work SURVIVED (checkpointed pipelines)

The headline case above is the shared-file orchestration, where agents deliberately don't commit — so a death means zero durable output. The inverse case is just as common and the recovery is completely different: a long, single-owner pipeline agent whose stages each git commit && git push before moving on. When that agent dies mid-stream, the finished stages are already on the remote. Treating it like the headline case — redoing the task from scratch — duplicates work and can clobber pushed commits.

Read the full file on GitHub · 163 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. 10d ago First seen · 163 lines · 498 tokens per session scan A b0a028f94792

Subscribe to this mod's changes

parallel-impl-agent-dies-mid-stream-verify-working-tree is a skill published in the GitHub repository wan-huiyan/agent-traffic-control (3 stars, last pushed 5d ago), licensed MIT. It adds 498 tokens to every session and 2,481 once invoked, about $0.0025 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 2026-08-31.

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