GoogleCloudPlatform

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task-coverage-protocol

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

Revisar el código fuenteVer en GitHub
Precio sin confirmar★ 95 Estrellas de GitHubRegistro actualizado · 7 sept 2026agent-skill

Resumen

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

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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.

Metadatos del archivo
name: task-coverage-protocol
description: "Enforces 100% task and file ingestion coverage via an asynchronous, supervisor-driven state polling mechanism."
Ver texto original
---
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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Licencia: 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
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Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
GoogleCloudPlatform/cxas-scrapi
Licencia
Apache-2.0
Versión
1.0.0
Último push de GitHub
3 sept 2026
Registro actualizado
7 sept 2026

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

63/100

Prometedor

Confianza

54/100

Do not auto-install

Auditoría

71/100

Requiere revisión

  • 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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Más detalles
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Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.

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