Use case / PAS-002
Audit an unfamiliar codebase before making changes
User Problem
A user inherited a project and needs Codex to understand the architecture, risks, and safe next steps before changing code.
Proof Claim Boundary
First-party operator dogfooding and product capability evidence only. The repository was synthetic and is not a customer case. Independent verification has not been completed, third-party corroboration is absent, and no evidence of natural user demand has been established. This does not establish SEO or GEO success, AI citation, AI recommendation, traffic, lead, revenue, or conversion improvement.
Manual install only: yes. Hosted execution: false.
Sanitized Prompt
I want Codex to look at a project I inherited and explain the architecture, important files, risks, and safe next steps before anything changes.
Direct answer
What Workflow Fits This Scenario?
- Problem
- Use this analysis-first workflow to understand an inherited or unfamiliar codebase before proposing any change.
- Suitable workflow
- The suitable workflow maps architecture, entry points, key files, dependencies, data flow, risks, uncertainties, and a safe follow-up plan from repository evidence.
- Codex + GetSkillary MCP
- Codex can use GetSkillary MCP to select the unfamiliar-codebase solution and its analysis bundle, then perform an authorized read-only inspection. The workflow separates understanding from later modification.
- When to use
- Use it when a maintainer needs an evidence-backed codebase map and risk register before deciding what to change.
- When not to use
- Do not use it as a customer case study, a complete security audit, or permission to edit private or production code.
- Next step
- Review the architecture map, entry points, key files, dependencies, data flow, risks, assumptions, and safe follow-up; authorize any source change separately.
Neutral selection criteria
Choose The Smallest Suitable Workflow
Use the coding agent's native capability
Use when: The repository is small, authorized, and already familiar enough that a one-off read-only explanation is sufficient.
Boundary: The user must still define scope, permissions, and evidence expectations.
Use one skill
Use when: The exact need is narrow, such as a repository map or a quality checklist, and scenario routing is unnecessary.
Boundary: A single skill may not cover architecture, dependency, data-flow, risk, and follow-up outputs together.
Use the GetSkillary solution, bundle, and MCP workflow
Use when: The request is expressed as an unfamiliar-codebase problem and needs a repeatable analysis-first route plus objective checks.
Boundary: Read-only discovery and manual installation support only; no hosted execution or automatic source modification.
Use a human expert or independent security reviewer
Use when: The repository is safety-critical, regulated, high-value, incident-affected, or needs assurance beyond structural analysis.
Boundary: The workflow does not provide independent security validation, completeness, or defect-free assurance.
Bounded first-party evidence
What The Operator Test Supports
- Evidence status
- bounded_first_party_operator_evidence_verified
- Test date
- 2026-07-09
- operator_tested
- true
- Verification
- 8/8 listed artifacts and 6/6 bounded evidence sources were present, and the synthetic-repository verifier passed the defined checks.
- manual_install_only
- true
- hosted_execution
- false
- third_party_corroboration_status
- absent
- Natural user demand
- Not proven
- Independent validation of GetSkillary
- None
Allowed Bounded Claims
- PAS-002-C01: Operator-run evidence shows the MCP workflow matching a sanitized unfamiliar-codebase request to the documented solution and skill bundle.
- PAS-002-C02: A local operator test produced an architecture map, key-file notes, dependency and data-flow notes, risks, and safe follow-up steps from a synthetic repository.
- PAS-002-C03: The listed local verifier passed the defined synthetic-repository checks, and SHA-256 hashes are included for reproducibility.
These are local operator dogfooding and product capability facts from synthetic or sanitized fixtures. They are not independent certification, market-effect evidence, or natural-user outcome evidence.
Reproducibility contract
Repeat The Bounded Test
With an authorized synthetic repository, repeat the MCP discovery path, inspect the repository before changing it, and verify the architecture map and safe follow-up against file evidence.
Safe Input
Provide an authorized synthetic repository and request an explanation of architecture, entry points, key files, dependencies, data flow, risks, and safe follow-up. Keep source modification out of scope.
MCP Call Path
search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan
Codex Steps
- Confirm that the repository is synthetic or explicitly authorized and that inspection is read-only.
- Read package metadata, documentation, entry points, routes, services, data sources, and dependencies.
- Trace data flow and tie architecture and risk statements to observable file evidence.
- Produce the map, key-file notes, risk register, and safe follow-up before requesting permission for edits.
Confirmation Points
- Confirm repository authorization and synthetic or sanitized status.
- Confirm read-only scope and allowed verification commands.
- Require new authorization before any source change, deployment, or production action.
Expected Outputs
- Architecture map
- Entry-point and key-file notes
- Dependency and data-flow notes
- Risk register
- Safe follow-up plan
Acceptance Checklist
- Architecture, entry points, key files, dependencies, data flow, risks, and safe next steps are covered.
- Every architecture statement is tied to repository evidence.
- No source file is changed.
- The synthetic result is not presented as a customer case.
Actions Not Run
- private repository disclosure
- source modification
- deployment
- production mutation
- customer-case publication
Cleanup And Rollback Boundary
The read-only run does not change tracked source or production state. Any separately authorized synthetic fixture regeneration must stay inside its verified fixture/output scope.
Sources and boundaries
Separate Background From Product Evidence
Background And Reference Sources
- Anthropic Claude Code: How Claude Code works Official background on gathering context, verifying results, permissions, and exploring before implementation. General coding-agent method background only. Anthropic does not validate or endorse this GetSkillary workflow. Verification status: available_read_only_2026-07-13.
GetSkillary First-Party Evidence
Three bounded operator-run claims, 8/8 listed artifacts, and 6/6 bounded evidence sources from a synthetic repository.
Independent Validation Of GetSkillary
None. third_party_corroboration_status=absent.
Background sources explain the surrounding method or tool category. They are not third-party corroboration of GetSkillary.
When To Use
- Use it when a maintainer needs an evidence-backed codebase map and risk register before deciding what to change.
When Not To Use
- Do not use it as a customer case study, a complete security audit, or permission to edit private or production code.
Matched Solution
Audit an unfamiliar codebase before making changes is the canonical solution route for this scenario.
MCP Workflow
search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan
- Endpoint
https://mcp.getskillary.com/mcp- Manual install only
- Yes
- Hosted execution
- No
Recommended Skill Bundle
Codebase Analysis Probe
codebase-analysis-probe
Code Quality Standards
code-quality-standards
Markdown Authoring Helper
markdown-authoring-helper
How Codex Explains And Executes The Plan
Confirm that the repository is synthetic or explicitly authorized and that inspection is read-only. Read package metadata, documentation, entry points, routes, services, data sources, and dependencies. Trace data flow and tie architecture and risk statements to observable file evidence. Produce the map, key-file notes, risk register, and safe follow-up before requesting permission for edits.
What You Need To Confirm
- Confirm repository authorization and synthetic or sanitized status.
- Confirm read-only scope and allowed verification commands.
- Require new authorization before any source change, deployment, or production action.
Expected Output
Codebase map; risk notes; recommended implementation plan.
Verification Checklist
- Architecture, entry points, key files, dependencies, data flow, risks, and safe next steps are covered.
- Every architecture statement is tied to repository evidence.
- No source file is changed.
- The synthetic result is not presented as a customer case.
Risk Boundary
L1 local analysis. No code changes, install commands, deploys, credential handling, or account actions are implied.
- manual_install_only
- true
- hosted_execution
- false
What Was Not Done
No repository was modified, no dependencies were installed, and no external service was contacted.
Readiness By GEO Stage
- crawl
- No URL or sitemap-count change; existing crawl support only, classified as SEO supporting diagnostics.
- index
- Existing canonical remains indexable with no new URL; index state is not GEO evidence.
- understand
- Adds an analysis-first answer, neutral selection logic, and synthetic-repository evidence boundaries.
- retrieve
- Strengthens unfamiliar-codebase intent match and concrete architecture outputs; actual retrieval remains unproven until live observation.
- cite
- Adds attributable, bounded facts and source-role labels; actual citation evidence remains absent.
- click
- Keeps existing solution, skill, install, MCP, and inquiry routes; no click evidence is created.
- convert
- No conversion evidence or conversion-improvement claim.
Next Actions
First-party operator dogfooding and product capability evidence only. The repository was synthetic and is not a customer case. Independent verification has not been completed, third-party corroboration is absent, and no evidence of natural user demand has been established. This does not establish SEO or GEO success, AI citation, AI recommendation, traffic, lead, revenue, or conversion improvement.
Tracking readiness only; no click or conversion evidence is generated by this local gate.