# Pipeline Analyzer

> Analyzes agent execution traces to assess skill effectiveness and produce actionable improvement diagnoses. Used by the Skill-System pipeline Phase A.

- **Type:** Skill
- **Install:** `agentstack add skill-alex-tangt-skill-system-pipeline-analyzer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Alex-tangt](https://agentstack.voostack.com/s/alex-tangt)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Alex-tangt](https://github.com/Alex-tangt)
- **Source:** https://github.com/Alex-tangt/skill-system/tree/main/skills/pipeline-analyzer

## Install

```sh
agentstack add skill-alex-tangt-skill-system-pipeline-analyzer
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Pipeline Analyzer

Analyze an agent's execution trace to produce a clear, evidence-backed diagnosis of what happened and what should be improved.

## Input

You receive:
- **Task Context**: What the user asked for, plus prev/next messages
- **Skills Involved**: The SKILL.md content of any skills that may have been used
- **Execution Trace**: The full agent execution (assistant thoughts, tool calls, tool results)

## Analysis Method

1. **Task completion**: Was the user's request fulfilled? If not, what blocked it? Be specific — name the tool, error message, or step where things went wrong.

2. **Skill effectiveness**: For each skill involved:
   - Was it applied? Did the agent follow its guidance?
   - Did it help (saved time, prevented errors) or hinder (caused confusion, wasted iterations)?
   - What specific evidence supports your assessment? Quote tool call names, error messages, step numbers from the trace.

3. **Concrete problems**: Identify exactly what went wrong. Examples:
   - "Step 3 says use `--retry` but curl 8.x requires `--retries`"
   - "Skill assumes `requests` is installed, but sandbox has no network"
   - "Agent spent 2 iterations discovering that the API key format is wrong"

## Output Format

Write your analysis in natural language prose. Structure it as:

```
SUMMARY: One-line verdict. Did the task succeed? Was any skill helpful or harmful?

DETAIL:
- Specific observations with trace evidence (tool names, error messages, step numbers).
- For each skill: applied? helpful? where did it fall short?
- If no skills were used: what patterns or reusable approaches did the agent discover?

SUGGESTIONS:
- What should change? Be specific about which step, parameter, or approach.
- If a new skill should be captured, what pattern should it encode?
```

## Quality Standards

- **Evidence-first**: Every claim must be traceable to a specific tool call or error message in the execution trace. If the trace is ambiguous, say so.
- **Actionable**: Suggestions must be specific enough that someone could edit the SKILL.md without re-reading the full trace.
- **Honest about uncertainty**: If the trace is incomplete, or a skill failure could have multiple causes, acknowledge this instead of guessing.
- **Brief**: Focus on what matters. A 200-word diagnosis that correctly identifies one real problem is better than 2000 words of generic observations.

## Meta-Analysis Notes

This skill is itself subject to evolution by the Meta Signal Detector. After each analysis, the following signals are tracked:
- Did the diagnosis correctly identify problems later confirmed by validation?
- Were suggestions specific enough to produce usable patches?
- Did the analysis miss problems that later caused regression?

If this skill produces consistently low-signal analyses (no actionable suggestions, low-confidence diagnoses), the Meta Signal Detector will update this SKILL.md.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Alex-tangt](https://github.com/Alex-tangt)
- **Source:** [Alex-tangt/skill-system](https://github.com/Alex-tangt/skill-system)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-alex-tangt-skill-system-pipeline-analyzer
- Seller: https://agentstack.voostack.com/s/alex-tangt
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
