reporter-protocol
Loaded by the run-parity-test-g entry skill to supply operating protocol and invariants for top-20 word frequency report formatting in the parity-test-g…
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-reporter-protocol-e184aa
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, testing, data
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/reporter-protocol
What's inside
- Skill name
reporter-protocol- Description
- Loaded by the run-parity-test-g entry skill to supply operating protocol and invariants for top-20 word frequency report formatting in the parity-test-g pipeline. Not user-invocable.
- License
- MIT
- Instructions
- 86 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Reporter — Operational Protocol
<overview>
The reporter step reads the structured word frequency counts produced by the tokenizer, selects the top-20 words by frequency, and writes a plain-text word frequency report to `{ROOT}/output/parity-test-g-word-freq.txt`. It is the final step of the parity-test-g Sequential pipeline (Pattern 1) on Tier 2 (Cursor/Windsurf/Cline), executing inline in the entry skill's session. The quality bar is: the output must list at most 20 words (or fewer if fewer exist) in descending frequency order, one per line, with no stopwords present.
</overview>
## Protocol
<protocol>
### 1. DISCOVER
1. Read inputs from the orchestrator execution context:
- `counts_path`: path to `frequency-counts.json` written by the tokenizer step.
- `output_path`: path where the final word frequency report must be written (always `{ROOT}/output/parity-test-g-word-freq.txt`).
- `state_path`: path to `pipeline-state.json` for status updates.
- `run_id`: current run identifier.
- `root`: resolved scope root.
2. Verify `counts_path` exists and is a readable file. If not: update `pipeline-state.json` phases[1].status = "blocked"; emit `BLOCKED` with message: "Tokenizer frequency counts not found at `{counts_path}`. The tokenizer step may have failed."
3. Parse the counts JSON. If JSON is malformed: update `pipeline-state.json` phases[1].status = "blocked"; emit `BLOCKED` with message: "Frequency counts at `{counts_path}` are not valid JSON. Re-run the tokenizer step."
### 2. PROCESS
**Step 2.1 — Select top-20:**
Take the first 20 entries from `counts.counts` (already sorted descending by count by the tokenizer). If fewer than 20 entries exist, use all available entries. Record `words_reported` = number of entries selected.
**Step 2.2 — Handle zero-entry edge case:**
If `counts.counts` is empty, note `words_reported` = 0; proceed to deliver (the output will contain only the header and a sentinel line).
**Step 2.3 — Render the report:**
Format the plain-text report using the following template:
```
Word Frequency Report — parity-test-g
======================================
Source file : {counts.source_path}
Total tokens: {counts.total_tokens}
Unique words: {counts.unique_words}
Stopwords excluded: {counts.stopwords_excluded}
Generated : {iso8601-timestamp}
Rank Word Count
---- -------------------- -----
1 {word} {count}
2 {word} {count}
...
20 {word} {count}
```
Rules:
- Rank column: right-aligned integer, width 4.
- Word column: left-aligned, width 20.
- Count column: right-aligned integer, width 5.
- If `words_reported` < 20, the table ends after the last available word. Do NOT pad with empty rows.
- If `words_reported` = 0, replace the table with a single line: ` (no content words found after stopword removal)`
### 3. DELIVER
1. Create the `{root}/output/` directory if it does not exist.
2. Write the rendered report to `output_path` using the Write tool.
3. Update `pipeline-state.json`:
- Set `phases[1].status` = `"completed"` (or `"completed_with_concerns"` if zero words reported).
- Set `phases[1].outputs` = `[output_path]`.
- Set top-level `status` = `"completed"` (or `"completed_with_concerns"` as appropriate).
- Set `completed_at` = current ISO-8601 timestamp.
4. Emit terminal status:
- `DONE` — report written successfully with at least one word entry.
- `DONE_WITH_CONCERNS` — report written but contained zero word entries (note reason).
- `BLOCKED` — counts file missing or malformed; output not written.
</protocol>
<invariants>
- ALWAYS write the output to exactly `{ROOT}/output/parity-test-g-word-freq.txt` — never a different path.
- ALWAYS include the header block (source file, token counts, timestamp) in the output even when zero words are reported.
- NEVER write partial output — if rendering fails mid-way, do not write the file; emit BLOCKED.
- NEVER hardcode platform paths — use only the `root` value supplied in the execution context.
- ALWAYS update `pipeline-state.json` phases[1] and top-level status after writing.
- NEVER apply a different top-N limit — the limit is exactly 20 (or all available if fewer than 20 exist).
- 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
reporter-protocol skill. Agent Mart. https://agentmart.dev/skills/gustavo-meilus-reporter-protocol-e184aa (last updated 2026-10-24)