flatten-workflow-parallel-arrays-before-collecting

flatten-workflow-parallel-arrays-before-collecting is a skill for Claude Code from wan-huiyan/agent-traffic-control. It costs 216 tokens per session (1,271 once invoked), scanned A, original, MIT.

A workflow guide for handling pipeline stages that return different data shapes, such as arrays in one case and objects in another.

In plain words
What is it for?
Use it when combining parallel pipeline results with ordinary stage results in Claude Code workflows.
Why use it?
It prevents collectors from silently ignoring all results when they expect one shape but receive another.

Skill for Claude Code

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

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

Good fit Use it when combining parallel pipeline results with ordinary stage results in Claude Code workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wan-huiyan/agent-traffic-control/flatten-workflow-parallel-arrays-before-collecting
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 flatten-workflow-parallel-arrays-before-collecting
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

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README.md
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<a href="https://agentmods.dev/skills/wan-huiyan/agent-traffic-control/flatten-workflow-parallel-arrays-before-collecting"><img src="https://agentmods.dev/badge/skills/wan-huiyan/agent-traffic-control/flatten-workflow-parallel-arrays-before-collecting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 216 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,271 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 $0.00216 $0.01271
Opus 5 $0.00108 $0.00635
Sonnet 5 $0.00043 $0.00254
Haiku 4.5 $0.00022 $0.00127

Measured 11d ago against content hash cebd7d83c252, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

flatten-workflow-parallel-arrays-before-collecting 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 11d 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/flatten-workflow-parallel-arrays-before-collecting/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow pipeline(): a stage returning parallel() is a bare array the collector silently drops

Problem

In the Claude Code Workflow tool, pipeline(items, stage1, stage2, …) runs each item through the stages. A common fan-out-then-verify shape makes stage-2 return different shapes per item:

const per = await pipeline(DIMENSIONS,
  d => agent(findPrompt, {schema: FINDINGS}),          // stage 1
  (findings, d) => {
    if (!findings.confirmed.length)
      return { dimension: d.key, verified: [] };        // OBJECT shape (no findings)
    return parallel(findings.confirmed.map(f => () =>   // BARE ARRAY shape (has findings)
      agent(verifyPrompt(f), {schema: VERDICT}).then(v => ({...f, verdict: v}))));
  });

per[i] is now an object {verified: […]} for dimensions that found nothing, but a bare array [{…verdict…}, …] for dimensions that DID find candidates (because parallel() resolves to an array). A collector written for only the object shape:

const all = per.flatMap(p => Array.isArray(p?.verified) ? p.verified : []);  // BUG

evaluates Array.isArray(undefined) → false for every array-shaped element → returns []silently drops all verdicts from exactly the dimensions that found bypasses. The workflow returns confirmed: 0, refuted: 0 — a false "all clear." The real tell: agentCount is high and the journal shows verify/v2: agents both started AND result-ed, yet confirmed_count + refuted_count == 0 (verify agents only spawn for candidates, so candidates existed).

Context / Trigger Conditions

  • A Workflow script using pipeline() where a later stage conditionally returns parallel(...) (adversarial-verify / review / loop-until-dry patterns).
  • The workflow result is "0 confirmed / 0 refuted" or "0 findings" — suspiciously clean.
  • The completion summary's agentCount (or the journal under …/subagents/workflows/wf_*/journal.jsonl) shows verify agents ran, contradicting "0".

Read the full file on GitHub · 97 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. 11d ago First seen · 97 lines · 216 tokens per session scan A cebd7d83c252

Subscribe to this mod's changes

flatten-workflow-parallel-arrays-before-collecting is a skill published in the GitHub repository wan-huiyan/agent-traffic-control (3 stars, last pushed 6d ago), licensed MIT. It adds 216 tokens to every session and 1,271 once invoked, about $0.0011 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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