template-comprehensive-assessment

Full checkout audit for the Research Project Template — tests, architecture, docs, manuscript, pipeline. USE WHEN user asks for comprehensive assessment, full repo review, health check across projects, audit everything, or pre-merge sanity sweep for template exemplars — even without naming docs/prompts or a skill. Not for single failing stage only.

13 stars

Best use case

template-comprehensive-assessment is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Full checkout audit for the Research Project Template — tests, architecture, docs, manuscript, pipeline. USE WHEN user asks for comprehensive assessment, full repo review, health check across projects, audit everything, or pre-merge sanity sweep for template exemplars — even without naming docs/prompts or a skill. Not for single failing stage only.

Teams using template-comprehensive-assessment should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/comprehensive-assessment/SKILL.md --create-dirs "https://raw.githubusercontent.com/docxology/template/main/docs/prompts/comprehensive-assessment/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/comprehensive-assessment/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How template-comprehensive-assessment Compares

Feature / Agenttemplate-comprehensive-assessmentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Full checkout audit for the Research Project Template — tests, architecture, docs, manuscript, pipeline. USE WHEN user asks for comprehensive assessment, full repo review, health check across projects, audit everything, or pre-merge sanity sweep for template exemplars — even without naming docs/prompts or a skill. Not for single failing stage only.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Comprehensive assessment

## Natural invoke

- "Audit the whole repo for template_active_inference, template_autoresearch_project, template_code_project, template_prose_project, and template_template"
- "Full health check — tests, docs, manuscript, pipeline"
- "What's broken across all active projects?"

## Inputs to confirm

- **Project(s)** — names from [`docs/_generated/active_projects.md`](../../_generated/active_projects.md) or "all active".
- **Scope** — single project vs multi-project (one pytest process per project test dir).

## Workflow

Work through:

1. **Tests** — appropriate pytest invocations; one project test dir per project. Coverage: infra ≥60%, project ≥90% unless CI exception. No mocks ([`docs/rules/testing_standards.md`](../../rules/testing_standards.md)).

2. **Architecture** — thin orchestrators in `scripts/`; algorithms in `projects/<n>/src/` or `infrastructure/`. No cross-project imports.

3. **Documentation** — meaningful dirs have accurate AGENTS.md + README.md; links resolve; link `_generated/active_projects.md`, do not duplicate roster.

4. **Manuscript** — Pandoc-crossref + `.bib` → [`docs/guides/manuscript-semantics.md`](../../guides/manuscript-semantics.md). Registry `labels.yaml` + `[[FIG:]]` → [manuscript-cross-references](../manuscript-cross-references/SKILL.md). Validate markdown; PDF/logs if outputs exist.

5. **Pipeline** — core vs full DAG, optional LLM stages, copy to `output/<name>/` per CLAUDE.md / RUN_GUIDE.

## Deliverables

- Executive summary (pass/fail per area).
- Concrete issues: path, symptom, suggested fix.
- Commands run + raw exit status.
- Do not invent coverage percentages.

## Verification commands

```bash
uv sync
uv run pytest projects/<project>/tests/ --cov=projects/<project>/src --cov-fail-under=90 -q
uv run pytest tests/infra_tests/ --cov=infrastructure --cov-fail-under=60 -q
uv run python scripts/01_run_tests.py --project <project>
uv run python -m infrastructure.validation.cli markdown projects/<project>/manuscript/
uv run python -m infrastructure.validation.cli prerender projects/<project>/manuscript --repo-root .
```

## When NOT to use

- **Single failing stage** → [pipeline-debugging](../pipeline-debugging/SKILL.md)
- **Claim-by-claim manuscript pass** → [manuscript-claim-verification](../manuscript-claim-verification/SKILL.md)
- **Determinism only** → [reproducibility-audit](../reproducibility-audit/SKILL.md)

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.