Skills when-chaining-agent-pipelines-use-stream-chain
📦
when-chaining-agent-pipelines-use-stream-chain
v1.0.0 Content revision r1 Safe ⚙️ External commands
Chain Agent Pipelines With Streamed Outputs
Agent workflows often lose context between stages. This skill shows how to pass outputs through memory or streams with validation steps.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "when-chaining-agent-pipelines-use-stream-chain" from https://skillstore.io/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain.md and its manifest at https://skillstore.io/api/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "when-chaining-agent-pipelines-use-stream-chain". A user needs agents to research issues, implement fixes, test results, and review quality.
Expected outcome:
- A sequential four-stage pipeline is recommended.
- Each stage receives the prior validated output as input.
- Testing and review stages include pass criteria before completion.
Using "when-chaining-agent-pipelines-use-stream-chain". A user wants faster processing for independent analysis tasks.
Expected outcome:
- A hybrid pipeline splits independent analysis into parallel branches.
- A merge stage combines branch outputs after validation.
- Monitoring tracks throughput and backpressure across channels.
Using "when-chaining-agent-pipelines-use-stream-chain". A user asks how to prevent data loss between streamed agent stages.
Expected outcome:
- The workflow adds acknowledgments, validation checkpoints, and retry handling.
- Intermediate state is stored before each downstream handoff.
Security Audit
Safev10 • 7/9/2026 Open versioned report
Actual bash examples in PROCESS.md and SKILL.md instruct users to run npx claude-flow@alpha, so those command blocks remain confirmed medium risks. Many static hits were only markdown fences, headings, or diagrams and were marked false positive. No prompt injection, credential access, or data exfiltration intent was found.
4
Files scanned
434
Lines analyzed
8
Review items
0
False positives ignored
Capability review items (8)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Medium
Unix shell invocation
#!/bin/bash
PROCESS.md presents a bash pipeline script with a shebang and repeated npx claude-flow@alpha commands. This is intended workflow execution, but it still runs external CLI code locally.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Medium
Ruby/shell backtick execution
```bash
This block instructs users to run npx claude-flow@alpha, which executes an external package and may write local output files. The workflow use is legitimate, but it remains an external-command and supply-chain risk.
Risk Factors
⚙️ External commands (20)
PROCESS.md:6 SKILL.md:59-80 SKILL.md:80-85 SKILL.md:85-87 SKILL.md:87-90 SKILL.md:90-94 SKILL.md:94-97 SKILL.md:97-100 SKILL.md:100-109 SKILL.md:109-131 SKILL.md:131-136 SKILL.md:136-145 SKILL.md:145-148 SKILL.md:148-157 SKILL.md:157-166 SKILL.md:166-185 SKILL.md:185-213 SKILL.md:213-233 SKILL.md:233-250 SKILL.md:250-269
Audited by: codex View Audit History →
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Copy report link
https://skillstore.io/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/audits/10?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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APA citation
DNYoussef. (2026). when-chaining-agent-pipelines-use-stream-chain security audit report (audit version 10) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/audits/10BibTeX citation
@techreport{dnyoussef-dnyoussef-when-chaining-agent-pipelines-use-stream-chain-2026,
author = {DNYoussef},
title = {when-chaining-agent-pipelines-use-stream-chain security audit report (audit version 10)},
institution = {Skillstore},
year = {2026},
number = {10},
url = {https://skillstore.io/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/audits/10},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "when-chaining-agent-pipelines-use-stream-chain security audit report (audit version 10)"
version: "1.0.0"
type: report
authors:
- name: "DNYoussef"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/audits/10"
identifiers:
- type: other
value: "skillstore:dnyoussef-when-chaining-agent-pipelines-use-stream-chain:audit:10"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
100
Maintainability
87
Content
70
Community
83
Spec Compliance
What You Can Build
Plan Release Automation
Design a staged release workflow where research, coding, testing, and review agents pass validated outputs forward.
Connect AI Research Flows
Route findings from one agent into analysis and synthesis agents without losing intermediate state.
Monitor Pipeline Quality
Track latency, throughput, backpressure, and validation results across chained agent stages.
Try These Prompts
Design a Basic Pipeline
Use this skill to design a three-stage research, code, and test pipeline. Show each stage, input, output, and validation point.
Add Streaming Between Stages
Convert my existing agent pipeline into a stream-based flow. Identify channels, buffers, monitoring points, and error handling.
Compare Pipeline Strategies
Review this task list and propose sequential, parallel, and hybrid agent pipeline options. Explain tradeoffs and selection criteria.
Operate a Production Pipeline
Design a monitored agent pipeline for a release workflow. Include state management, backpressure handling, validation, and recovery steps.
Best Practices
- Review each external command before execution and pin trusted package versions.
- Define stage inputs, outputs, validation points, and failure handling before running agents.
- Monitor throughput, latency, backpressure, and data integrity during long workflows.
Avoid
- Running npx commands from examples without confirming package source and version.
- Passing unvalidated outputs directly into later agents.
- Adding parallelism before dependencies and merge rules are clear.
Frequently Asked Questions
What does this skill help me build?
It helps design chained agent pipelines where each stage passes validated output to the next stage.
Can it support parallel pipelines?
Yes. It describes sequential, parallel, and hybrid patterns for agent coordination.
Does it run commands automatically?
No. It provides command examples that users must review and run themselves.
Which tools does the skill reference?
The instructions reference Claude Flow commands and are listed for Claude, Codex, and Claude Code users.
What should I check before using it?
Confirm the Claude Flow package source, version, permissions, and output paths before running any command.
Does it handle production monitoring?
It outlines monitoring metrics, but users must configure real alerts and operational controls separately.
Developer Details
Author
DNYoussefLicense
MIT
Author version
v1.0.0
Skillstore revision
r1
Ref
0519034dad657fb1f7706e0550e962beeda73fdf
Maintenance freshness
7/18/2026
Usage
5 downloads · 187 views
File structure