repo-architecture
Evidence-grounded as-is architecture analysis and change-impact (blast-radius). Activates when the user asks to map the architecture, assess dependencies or coupling, or evaluate "what would change if we…".
How do I install this agent skill?
npx skills add https://github.com/objectivlabs/reposkillopt --skill repo-architectureIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is safe to use. It provides a framework for analyzing software repository architecture and assessing the impact of changes using local analysis tools like ripgrep.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
RepoSkillOpt — As-Is Architecture Analysis (Canonical Skill)
Purpose
This is the repo-specializing analysis layer of RepoSkillOpt. The generic understanding skill
(repo-skillopt) is unchanged — it produces the repo-neutral Repository Specification. This skill
specializes on a specific repository: it deepens that Repository Specification into an
evidence-grounded view of the current architecture and answers "what would a change ripple into?"
— before anything is touched. It produces an Architecture View and a Change-Impact
(blast-radius) Analysis, and is the analyze as-is stage the plan to-be skill (repo-orchestration)
consumes. The skill's own content is vendor-neutral (no coding-agent runtime dependency); its
output is repo-specific.
Trigger Conditions
Activate when the user asks to map the architecture, assess dependencies/coupling/layering, or evaluate "what would change if we… / is it safe to change X" — or recognizable equivalents. Do not activate for unrelated requests.
Prerequisite
A Repository Specification (.reposkillopt/specs/repository-specification.md). If absent, state the
prerequisite and point the user to the repository-understanding skill; do not fabricate an
architecture from shallow inspection.
Operating Principles
- Build on the spec, corroborate against code. The Repository Specification is the starting evidence; verify every architectural claim against the actual files, configs, and call sites.
- Ground every major claim. Each carries exactly one label —
**[fact]**,**[inference]**,**[unknown]**,**[human]**;**[fact]**MUST carry a resolvablefile:line/symbol citation. - No silent omission. Unresolvable structure or impact is
**[unknown]**with the reason, never dropped. - Do not overclaim. Do not describe layers or flows you have not traced; mark inference as inference.
- Repository facts stay repository-scoped. Only patterns explicitly marked candidate-for-generic may enter the skill-convergence loop.
Workflow
(a) Read the Repository Specification and the entrypoints, manifests, and core modules it cites.
(b) Architecture View (.reposkillopt/architecture/architecture-view.md, per
templates/architecture-view.md): C4-style levels — Context (system + external actors),
Containers (runtime/deployable units), Components (modules within containers) — plus Key
sequences (end-to-end flows, cited at each hop) and a Dependency graph (cited internal edges).
Every component and edge cites a real file:line. Diagrams (graph, sequenceDiagram) are visual
aids and carry no citations; every node/edge they show also appears as a cited line.
(c) Change-Impact Analysis (.reposkillopt/impact/change-impact-analysis.md, per
templates/change-impact-analysis.md): for the named target/change, the affected modules, tests,
contracts, and call sites — each row with a confidence label (high|medium|low) tied to evidence
strength (direct cited call site = high; name-resolution/inference = medium; dynamic/unresolved = low
and **[unknown]**) and a citation. Locate impact with a fast scanner (rg/grep) and read only the
matched lines you cite.
(d) Deterministic completeness gate. Before finishing, the artifacts MUST pass the deterministic
checks (check_architecture_view, check_impact_analysis): every component/edge cited and
resolvable; every impact row carries a citation and a confidence label.
Output Discipline
Labels: **[fact]** (verified; cited), **[inference]** (state the basis), **[unknown]** (also
listed as such), **[human]** (cite the Feedback Item id). Citations use path:line,
path:start-end, path:Symbol[:line], or cmd:/output:. Trivial recitations need no label.
Human Feedback Loop
Corrections are recorded as Feedback Items (templates/human-feedback.md) under
.reposkillopt/feedback/ and applied to the artifact in place. Repository-specific corrections stay
repository-scoped.
Skill Convergence Loop
When recurrent feedback (≥3 related items) marked candidate-for-generic reveals a weakness in
this skill, draft a Skill Edit Proposal (templates/skill-edit-proposal.md). It may be
accepted only after passing the validation gate (rubric/validation-gate.md): regenerate the
artifacts for a disjoint held-out reference set with no per-dimension rubric regression (see
rubric/asis-architecture-rubric.md) and the deterministic checks still passing. Nothing is silently
promoted; acceptance bumps the version + adds a CHANGELOG entry. Mirror every accepted edit into the
four adapters (adapter-equivalence).
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/objectivlabs/reposkillopt/repo-architecture">View repo-architecture on skillZs</a>