Skill Overlay

Role

Use this skill after skill-adopter has proven that an upstream Skill can be fetched and pinned, but raw adoption does not meet Kun runtime policy.

The goal is to keep the upstream update path intact while applying a small replayable compatibility layer. Do not silently edit a copied upstream Skill by hand.

Public Edition Note

In this public edition, an overlay can target any pinned public Git repository or local upstream Skill directory. If a private registry is unavailable, keep the overlay manifest, generated references/official-basis.md, and local skills-lock.json as the proof surface. Do not claim organization-level registry promotion unless the user has actually added one.

Method

/skill-overlay(manifest, target_root?, lock_file?)

Flow

1. Read references/official-basis.md, then read the overlay manifest and confirm the pinned upstream source, ref, and skill path.
2. Run scripts/apply_overlay.py.
3. Verify the generated Skill with quick_validate.py and audit_skill.py.
4. If validation passes, record the generated skills-lock.json evidence in the registry.
5. If validation fails, classify the failure as overlay_manifest_gap, upstream_policy_gap, or validator_policy_gap; do not mark the Skill adopted.
6. If the Skill participates in a workflow chain, confirm the overlay adds or preserves an explicit Chain Position: consumed artifacts, produced artifacts, handoff status, next Skill, hard boundaries, and proof surface.
7. If the overlay target is a composite skill repository, confirm repo-level WORKFLOW.md exists or add it as part of the overlay contract before marking the repo workflow-ready.

Overlay Boundary

Allowed default overlay changes:

• normalize SKILL.md frontmatter to Kun-compatible name and description;
• preserve original vendor frontmatter in a generated upstream frontmatter reference;
• move upstream root README.md into a generated upstream README reference;
• create a generated official-basis reference;
• create agents/openai.yaml;
• insert a short Kun overlay note that makes the official-basis reference a runtime read requirement, not only provenance metadata.
• when the overlay includes references/upstream/ source-tree mirrors, keep those files as the maintenance/adoption/audit proof source.
• preserve or explicitly project important upstream scripts/, assets/, templates, schemas, and fixtures when they are part of the upstream capability.
• copy executable/runtime payloads into local scripts/ or assets/ only when the overlay intends to use them; otherwise mark them as evidence-only source-tree payloads.
• for ordinary runtime, use progressive disclosure: read the generated official-basis reference plus generated runtime-rules reference; read scoped upstream files only when the runtime rules say the task crosses an uncertainty, exact upstream behavior, update, license/provenance, or user-requested source boundary.

Not allowed by default:

• rewriting the upstream rule content;
• deleting upstream scripts, references, or assets without evidence;
• changing behavior to satisfy Kun taste rather than runtime compatibility;
• pretending an overlayed Skill is still raw upstream.
• hiding workflow handoff rules in prose only. Chain member Skills need explicit artifacts, statuses, next Skill, boundaries, and proof surface.
• claiming official-overlay when SKILL.md does not require reading the generated official-basis reference at runtime.
• keeping full upstream source mirrors under references/upstream/ without either a full-runtime read requirement or a progressive runtime contract that points ordinary runtime to the generated runtime-rules reference and maintenance/adoption/audit to full upstream reads.
• treating the generated runtime-rules reference as a summary replacement for upstream. It is only an executable ordinary-runtime extraction with source mapping and full-read escalation triggers.
• treating scripts or assets hidden under references/upstream/ as operational runtime dependencies. Evidence mirrors are read/inspected; operational code and media must be projected into local scripts/ / assets/ with lock/hash evidence.
• claiming a composite repository is workflow-ready by adding only single-skill chain metadata. Repo-level WORKFLOW.md is required for composite skill repos.

Commands

Durable manifests live in kun-agent-registry/overlay-catalog/. This skill does not keep demo overlay manifests as local source truth.

Apply an overlay manifest:

python3 scripts/apply_overlay.py <kun-agent-registry>/overlay-catalog/<skill-id>.overlay.yaml \
  --target-root .agents/skills \
  --lock-file skills-lock.json \
  --force

Manifest format is documented in references/overlay-manifest-format.md.

Output Contract

route: official-overlay
source: <repo/url/ref/skill_path>
installed: <target skill dir>
overlay: <manifest path and applied operations>
lock: <skills-lock.json tree/file hashes>
source_tree_payload: <docs/scripts/assets/templates/fixtures inventory and role>
operational_projection: <local scripts/assets copied or blocked/evidence-only>
chain: standalone | <chain_id/position/consumes/produces/handoff_status/next_skill/proof_surface>
state_machine: standalone | WORKFLOW.md | runtime_lifecycle
validation: <quick_validate/audit result>
next: adopted | registry-update | blocked

Resources

• scripts/apply_overlay.py: replay an official-overlay manifest.
• references/overlay-manifest-format.md: manifest schema and promotion rules.

Deletion Spec

• Trigger: official tools support pinned upstream Skill install plus replayable host-specific overlays and lock evidence.
• Disable: delete skills/skill-overlay/ and remove it from skill-registry.yaml.
• Cleanup: migrate existing overlay manifests and lock records to the official replacement first.