skill-adopt
Adopt a pinned third-party SKILL.md as an exact native Runx binding bundle with deterministic source digests, a bounded execution profile, isolated harness…
Skill by runxhq
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/runxhq-skill-adopt
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-adopt
What's inside
- Skill name
skill-adopt- Description
- Adopt a pinned third-party SKILL.md as an exact native Runx binding bundle with deterministic source digests, a bounded execution profile, isolated harness proof, and no publication claim. Use skill-build for first-party Runx skills.
- License
- Apache-2.0
- Instructions
- 78 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (16)
- SKILL.md
- composes-in-graph.yaml · fixtures/
- missing-skill-ref-needs-input.yaml · fixtures/
- composed.graph · fixtures/support/
- SKILL.md · fixtures/upstream/summarize/
- wrap-borrowed-research-skill.yaml · fixtures/
- wrap-bounds-dropped-rejects.yaml · fixtures/
- wrap-local-skill-with-digest.yaml · fixtures/
- wrap-with-caller-bounds.yaml · fixtures/
- mark.svg
- overlay-binding.mjs
- overlay-common.mjs
- overlay-source.mjs
- catalog.md · references/
- mark-license.md · references/
- run.yaml
SKILL.md (first lines)
# Skill Adopt Adopt a third-party skill without pretending that upstream prose is already a Runx package. Skill Adopt binds one immutable upstream `SKILL.md` to a least-authority execution profile under `bindings/<publisher>/<skill>/`. The upstream manual remains unchanged and readable; the binding adds only the executable contract and provenance needed by Runx. Use this for borrowed, pinned source. Use `skill-build` when Runx owns the skill, and use `skill-review` when the immediate job is assessment rather than binding. ## Procedure 1. Supply a local `SKILL.md`, pinned GitHub metadata, and registry metadata. Native `fs.read` contains and digests the file; the Overlay domain module validates frontmatter, commit and blob pins, URLs, and the source-of-truth assertion, including the Git blob SHA that ordinary SHA-256 cannot express. 2. The builder reads the already bounded upstream manual from prepared context and authors one exact `run.yaml`: one runner with one agent step, exact inputs and outputs, least scopes, declared environment, credentials, allowed tools, and at least two mocked harness cases. Empty tool access is valid when the task needs no tools; it never means allow-all. 3. Overlay forwards the unchanged upstream `SKILL.md` and the authored profile as one in-memory candidate. Native `runx.skill.validate` is the sole parser: it establishes the skill identity, validates the exact bytes, and runs the safe harness with isolated receipts and no operator credentials. 4. Only a passing native report is assembled into `binding.json`. Native `data.digest` binds the exact profile and binding documents returned in the bundle. Apply them through the owning repository's normal authoring lane; publication and materialization remain separate operations. The skill does not fetch an unpinned registry ref, edit the upstream skill, write repository files, publish a package, or claim provider verification. Missing source evidence, digest drift, invalid profile shape, or failed harness proof stops before a bundle is released. A failed run is safe to retry after correcting the source or profile because no workspace mutation has occurred. ## Output `binding_bundle` contains `decision`, `binding_path`, observed source evidence, exact `files`, native inspection and harness results, rationale, blockers, and a `success_checkpoint`. Only `decision: ready` contains files. Inputs are `skill_path`, `upstream`, `registry`, optional `objective`, `scope_intent`, `bounds`, `tags`, and `publication`. ## Caller-supplied bounds `scope_intent` informs the profile draft; `bounds` constrains it. When the caller supplies `bounds` (`allowed_output_prefix`, `max_acts`, or both), Overlay validates the shape deterministically before any source read, the builder must echo the exact bounds it applied as `bounds_applied`, and deterministic code compares that echo field by field against the caller's declaration. A dropped, widened, or invented bound rejects the candidate before native validation runs. The accepted bounds are recorded in `binding.json` next to the harness evidence, so the registry artifact carries the attenuation the caller actually declared, not a prose intention. When no bounds are supplied, `binding.json` records `bounds: null` and a draft that claims bounds anyway is rejected. ## Agent task contracts ### `overlay-binding-profile` Read `upstream_skill`, the bounded upstream SKILL.md supplied in prepared context. Return `profile_draft` with `decision`, `profile_document`, `rationale`, and `blockers`. When the `bounds` input is present, also return `bounds_applied` echoing every supplied bound exactly, and shape the profile so the package honors them: keep write scopes inside `allowed_output_prefix` and carry `max_acts` as a capped runner input where the wrapped skill takes repeated acts. Never invent bounds the caller did not supply. `profile_document` is the complete exact `run.yaml` text. It must define one runner with one agent step, exact inputs and outputs, declared environment and credentials, an explicit top-level `tools:` list naming only the catalog tools the agent may call, and at least two mocked harness cases. The cases must exercise the useful path and a missing-input, refusal, or boundary path. Do not add shell, provider, network, or filesystem execution stages. Do not author binding provenance or publication claims; native validation owns syntax and identity, while Overlay owns deterministic provenance assembly after that proof passes.
From runxhq/runx, Apache-2.0.
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Signals
- Stars
- 104
- Forks
- 109
- Open issues
- 16
- Contributors
- 16
- Last commit (this folder)
- Oct 17, 2026 (13 days ago)
- Last release
- Oct 18, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/runxhq/runx
- Website
- runx.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Manage named Reddit accounts through their existing browser sessions, find useful conversations, draft in each account's voice, and submit one exactly…
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runxhq
Draft or tighten a Runx operational policy from a governance brief, then validate the exact runx.operational_policy.v1 contract with the native policy engine.
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Cite this page
skill-adopt. Agent Mart. https://agentmart.dev/skills/runxhq-skill-adopt (last updated 2026-10-24)