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task-coverage-protocol

Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism.

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Harga belum dikonfirmasi★ 95 Star GitHubDirektori diperbarui · 7 Sep 2026agent-skill

Ringkasan

Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism.

Baca dokumentasi lengkap

Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

PROTOCOL: Supervisor-Driven Task Coverage Checklist

This protocol governs how you must handle large, repetitive, or multi-step requirements ingestion tasks to prevent context drift, avoid memory exhaustion, and guarantee 100% file coverage. Workloads are partitioned into sliced batches dynamically monitored by a decoupled supervisor.

Architectural Overview

Instead of attempting to list and process hundreds of files in a single conversation turn, tasks are executed asynchronously:

  1. The Ingestor Supervisor scans the directory, partitions the files, and outputs a structured batch directive.
  2. You (or parallel subagents) consume this directive, process only the assigned slice of files, and write the output files to the designated folder.
  3. The supervisor verifies and grades the outputs before queueing the next slice.

Execution Workflow

1. Scoped Scan & Scoping Setup

When instructed to ingest a requirements directory (e.g. "Ingest and parse all files in this folder"), you MUST launch the Supervisor script to initialize the task state:

python3 protocols/task-coverage-protocol/scripts/ingestor_supervisor.py \
  --source_dir="path/to/source" \
  --target_skill="path/to/cxas-cuj-report-generator/"
2. Consume the Handoff Directive

The supervisor will scan the target folder, slice the files into batch lists of size 10, and print a structured directive to standard output: SPAWN_BATCH_DIRECTIVE: {"spec_file": "/tmp/ingestor/batch_spec.json", "output_dir": "/tmp/ingestor/outputs/"}

Upon seeing this token, you MUST:

  1. Read the spec file /tmp/ingestor/batch_spec.json to retrieve the list of files, prompts, and expected output paths.
  2. Spawn fresh, parallel subagents (one per file or partition) using their respective prompt files (e.g., /tmp/ingestor/prompts/<file_name>_prompt.txt).
  3. Instruct the subagents to write their generated YAML transcripts directly to /tmp/ingestor/outputs/<file_name>_output.txt.
3. Yield Terminal & Polling Gate

Once parallel subagents have been spawned in the background, you MUST immediately stop calling tools and go idle (or report status) to release the terminal lock. The supervisor will poll the output directory until all files are completed.

4. Progress Verification & Next Slices

When all subagents have delivered their YAML transcripts, run the supervisor script again:

python3 protocols/task-coverage-protocol/scripts/ingestor_supervisor.py \
  --source_dir="path/to/source" \
  --target_skill="path/to/cxas-cuj-report-generator/"
  • Verification Pass: If the supervisor grades all outputs as passing, it automatically advances the file pointer and writes the next batch spec. Consume the new directive and repeat the parallel spawning cycle!
  • Verification Fail: If the supervisor detects any syntax, schema, or linguistic violations, it automatically triggers recovery, rebasing, or load bisection. Re-spawn the corrective subagents as directed.
5. Final Compilation & Completion

When all batch slices are fully processed, the supervisor will declare All files successfully ingested! and compile the final interactive CUJ reports.

Lihat sumber ↗
Metadata berkas
name: task-coverage-protocol
description: "Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism."
Lihat teks asli
---
name: task-coverage-protocol
description: "Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism."
---

# PROTOCOL: Supervisor-Driven Task Coverage Checklist

This protocol governs how you must handle large, repetitive, or multi-step
requirements ingestion tasks to prevent context drift, avoid memory exhaustion,
and guarantee 100% file coverage. Workloads are partitioned into sliced batches
dynamically monitored by a decoupled supervisor.

## Architectural Overview

Instead of attempting to list and process hundreds of files in a single
conversation turn, tasks are executed asynchronously:

1.  The **Ingestor Supervisor** scans the directory, partitions the files, and
    outputs a structured batch directive.
2.  You (or parallel subagents) consume this directive, process only the
    assigned slice of files, and write the output files to the designated
    folder.
3.  The supervisor verifies and grades the outputs before queueing the next
    slice.

--------------------------------------------------------------------------------

## Execution Workflow

### 1. Scoped Scan & Scoping Setup

When instructed to ingest a requirements directory (e.g. "Ingest and parse all
files in this folder"), you MUST launch the Supervisor script to initialize the
task state:

```bash
python3 protocols/task-coverage-protocol/scripts/ingestor_supervisor.py \
  --source_dir="path/to/source" \
  --target_skill="path/to/cxas-cuj-report-generator/"
```

### 2. Consume the Handoff Directive

The supervisor will scan the target folder, slice the files into batch lists of
size 10, and print a structured directive to standard output:
`SPAWN_BATCH_DIRECTIVE: {"spec_file": "/tmp/ingestor/batch_spec.json",
"output_dir": "/tmp/ingestor/outputs/"}`

Upon seeing this token, you MUST:

1.  Read the spec file `/tmp/ingestor/batch_spec.json` to retrieve the list of
    files, prompts, and expected output paths.
2.  Spawn fresh, parallel subagents (one per file or partition) using their
    respective prompt files (e.g.,
    `/tmp/ingestor/prompts/<file_name>_prompt.txt`).
3.  Instruct the subagents to write their generated YAML transcripts directly to
    `/tmp/ingestor/outputs/<file_name>_output.txt`.

### 3. Yield Terminal & Polling Gate

Once parallel subagents have been spawned in the background, you MUST
immediately stop calling tools and go idle (or report status) to release the
terminal lock. The supervisor will poll the output directory until all files are
completed.

### 4. Progress Verification & Next Slices

When all subagents have delivered their YAML transcripts, run the supervisor
script again:

```bash
python3 protocols/task-coverage-protocol/scripts/ingestor_supervisor.py \
  --source_dir="path/to/source" \
  --target_skill="path/to/cxas-cuj-report-generator/"
```

*   **Verification Pass**: If the supervisor grades all outputs as passing, it
    automatically advances the file pointer and writes the next batch spec.
    Consume the new directive and repeat the parallel spawning cycle!
*   **Verification Fail**: If the supervisor detects any syntax, schema, or
    linguistic violations, it automatically triggers recovery, rebasing, or load
    bisection. Re-spawn the corrective subagents as directed.

### 5. Final Compilation & Completion

When all batch slices are fully processed, the supervisor will declare `All
files successfully ingested!` and compile the final interactive CUJ reports.

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Lisensi
Apache-2.0
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Lisensi: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • SKILL.md excerpt is truncated; full document may lack explicit limitations and safe operating boundaries.
  • The skill depends on an external script (ingestor_supervisor.py) that is not fully documented in the provided excerpt, which could hinder standalone usability.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 95 GitHub stars
  • Stars/forks activity: 95 stars, 82 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Buka audit lengkap

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  1. 1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
  2. 2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
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Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

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Repositori sumber
GoogleCloudPlatform/cxas-scrapi
Lisensi
Apache-2.0
Versi
1.0.0
Push GitHub terakhir
3 Sep 2026
Direktori diperbarui
7 Sep 2026
Jalur instruksi
.agents/skills/cxas-cuj-report-generator/protocols/task-coverage-protocol/SKILL.md @ 2a20bd111b93

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

63/100

Menjanjikan

Kepercayaan

54/100

Do not auto-install

Audit

71/100

Perlu ditinjau

Buka audit lengkapLihat laporan evaluasi
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • SKILL.md excerpt is truncated; full document may lack explicit limitations and safe operating boundaries.
  • The skill depends on an external script (ingestor_supervisor.py) that is not fully documented in the provided excerpt, which could hinder standalone usability.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 95 GitHub stars
  • Stars/forks activity: 95 stars, 82 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Detail lainnya
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}

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Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan GoogleCloudPlatform, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/googlecloudplatform-task-coverage-protocol?metric=listed&label=Listed)](https://www.openagentskill.com/skills/googlecloudplatform-task-coverage-protocol?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/googlecloudplatform-task-coverage-protocol?metric=trust&label=Trust)](https://www.openagentskill.com/skills/googlecloudplatform-task-coverage-protocol?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/googlecloudplatform-task-coverage-protocol?metric=audit&label=Audit)](https://www.openagentskill.com/skills/googlecloudplatform-task-coverage-protocol/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/googlecloudplatform-task-coverage-protocol?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/googlecloudplatform-task-coverage-protocol?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.