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jscraik

report-compiler

@jscraik/report-compiler
jscraik
4
4 forks
Updated 5/5/2026
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report_compiler: Summarize and compile multiple run findings into a single report with cross-run diffs and stable conclusions. Use when consolidating investigation outputs.

Installation

$npx agent-skills-cli install @jscraik/report-compiler
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Details

Pathutilities/recon-workbench/assets/template/.codex/skills/report_compiler/SKILL.md
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Scoped Name@jscraik/report-compiler

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

npx agent-skills-cli list

Skill Instructions


name: report_compiler description: Summarize and compile multiple run findings into a single report with cross-run diffs and stable conclusions. Use when consolidating investigation outputs.

Inputs:

  • A list of run folders containing derived/findings.json.

Output:

  • consolidated report.md:
    • what changed between baseline and stimulus
    • stable behaviors (observed repeatedly)
    • open questions and recommended next probes

Cognitive Support / Plain-Language

  • Optimize for low cognitive load (TBI support): one task at a time, explicit steps.
  • Use plain language first; define jargon in parentheses.
  • Keep steps short and checklist-driven where possible.
  • Externalize state: decisions, assumptions, and the next step.
  • Provide ELI5 explanations for non-trivial logic.
  • Ask one question at a time; prefer multiple-choice when possible.

Anti-patterns

  • Applying this skill when a direct request is out of scope.
  • Skipping validation/checks to save time.
  • Assuming defaults without explicit user confirmation for risky actions.

Constraints / Safety

  • Redact secrets, tokens, credentials, and PII by default; never echo raw environment values.
  • Prefer safe defaults and avoid irreversible changes without explicit confirmation.

Inputs

  • User task context and target environment.
  • Relevant constraints, permissions, and preferences required to execute safely.

Outputs

  • A concrete next-step response with explicit, reproducible actions.
  • A short verification checklist and caveats for the user.

Philosophy

  • Keep the workflow minimal, safe, and evidence-based.
  • Load richer context only when needed; avoid unnecessary commands or overreach.

Procedure

  1. Verify scope and constraints before taking action.
  2. Execute the minimal safe path first.
  3. Validate intermediate state before making changes.

Validation

  • Fail fast: stop at the first failed check and do not continue.
  • Re-run the required checks before proceeding to the next step.
  • Report any failed check and requested follow-up actions clearly.

When to use

  • Use this skill when the request matches the skill's intent and scope.
  • Do not use it when a different domain or higher-privilege workflow is required.

Constraints / Safety

  • Redact secrets, tokens, credentials, and PII by default; never echo raw environment values.
  • Prefer safe defaults and avoid irreversible changes without explicit confirmation.
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Philosophy and tradeoffs

  • Use this skill when consistent decision-making matters more than one-off execution because project context should drive the approach.
  • Principle and mindset: prioritize tradeoffs and constraints over rigid checklists; understand why each step exists.
  • Ask this to keep outcomes robust: Why is this the right default, and what could change this outcome?
  • How do we adapt if constraints shift?
  • What evidence is needed before choosing one path over another?

Anti-patterns and caveats

  • Avoid applying this playbook generically without checking repository-specific context.
  • NEVER skip required validation gates when behavior changes.
  • DO NOT use this skill as a rigid replacement for engineering judgment.
  • DON'T ignore warnings or assume one pattern fits all repos.
  • Common pitfall: treating anti-patterns as optional.
  • Incorrect assumptions here can lead to fragile guidance.
  • Warning: wrong sequencing can create avoidable regressions.

Variation and adaptation

  • Vary the workflow by team size, risk, and deployment target.
  • Use different strategies for small, medium, and large changes.
  • Adapt recommendations to the specific environment and avoid repetitive templates.
  • Avoid generic or cookie-cutter responses; craft context-specific alternatives.
  • Keep outputs diverse and not repetitive.
  • Converge on a custom path only after evidence review.
  • Different constraints should produce different, non-generic recommendations.

Empowering execution style

  • Be capable of exploring multiple options and enabling the team to make safe decisions.
  • Unlock confidence by explaining options and tradeoffs clearly.
  • Feel free to be creative while staying rigorous and precise.
  • Push boundaries with practical alternatives when simple recipes fail.
  • Enable outcomes-oriented problem solving.