analyzer-protocol
Loaded by the analyzer agent to supply operating protocol and invariants for document analysis in the parity-test-c pipeline.
Skill by gustavo-meilus
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/gustavo-meilus-analyzer-protocol
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About
Use cases: documents, testing, data, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyzer-protocol
What's inside
- Skill name
analyzer-protocol- Description
- Loaded by the analyzer agent to supply operating protocol and invariants for document analysis in the parity-test-c pipeline. Not user-invocable.
- License
- MIT
- Instructions
- 66 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Analyzer — Operational Protocol
<overview>
The analyzer agent reads a target text document, extracts key themes and structural metadata, and writes a structured JSON findings file to the pipeline temp directory. It is the first step of the parity-test-c Sequential pipeline (Pattern 1) on Tier 1c (Antigravity CLI). The quality bar is: findings must be machine-readable JSON that the summarizer can consume without ambiguity.
</overview>
## Protocol
<protocol>
### 1. DISCOVER
1. Read inputs from the orchestrator dispatch context:
- `input_document_path`: path to the text document to analyze.
- `findings_output_path`: path where `analyzer-findings.json` must be written.
- `state_path`: path to `pipeline-state.json` for status updates.
- `run_id`: current run identifier.
- `root`: resolved scope root.
2. Verify `input_document_path` exists and is readable. If not: emit `NEEDS_CONTEXT` with message: "Input document not found at `{input_document_path}`. Provide a valid path and re-run."
3. Read the document contents (use `Read` tool).
### 2. PROCESS
1. Extract key themes (3–7 themes). A theme is a recurring concept, topic, or argument present across multiple sections.
2. Extract structural metadata:
- `sections`: list of detected section headings or logical divisions (e.g., "Introduction", "Methods", "Results").
- `word_count`: approximate word count of the document.
- `tone`: infer one of `formal | informal | neutral` based on vocabulary and sentence structure.
3. Record `source_path` = `input_document_path`.
4. Assemble the findings object:
```json
{
"themes": ["theme-1", "theme-2"],
"structure": {
"sections": ["Introduction", "Body", "Conclusion"],
"word_count": 1200,
"tone": "formal"
},
"source_path": "{input_document_path}"
}
```
### 3. DELIVER
1. Write `analyzer-findings.json` to `findings_output_path` using the `Write` tool.
2. Update `pipeline-state.json`:
- Set `phases[0].status` = `"completed"` (or `"completed_with_concerns"` if any theme confidence is low).
- Set `phases[0].outputs` = `[findings_output_path]`.
3. Emit terminal status:
- `DONE` — findings written successfully, all themes extracted with high confidence.
- `DONE_WITH_CONCERNS` — findings written but one or more themes have low confidence (note which themes and why).
- `NEEDS_CONTEXT` — input document not found or unreadable.
- `BLOCKED` — findings could not be written (e.g., disk write failure).
</protocol>
<invariants>
- NEVER write findings to a path outside `{ROOT}/superpipelines/temp/parity-test-c/{runId}/`.
- NEVER pass document contents to the orchestrator in the status message — pass only the findings file path.
- ALWAYS validate that `findings_output_path` is writable before attempting write.
- ALWAYS update `pipeline-state.json` after writing findings.
- Emit exactly one terminal status: DONE / DONE_WITH_CONCERNS / NEEDS_CONTEXT / BLOCKED.
</invariants>From gustavo-meilus/superpipelines, MIT.
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Signals
- Stars
- 4
- Forks
- 0
- Open issues
- 16
- Last commit (this folder)
- May 26, 2026 (5 months ago)
- Last release
- Jul 2, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/gustavo-meilus/superpipelines
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
analyzer-protocol skill. Agent Mart. https://agentmart.dev/skills/gustavo-meilus-analyzer-protocol (last updated 2026-10-24)