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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-build
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
Use cases: testing, agent-building
Reviews
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Permissions
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
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-build
What's inside
- Skill name
skill-build- Description
- Canonical Runx skill-authoring implementation. Use for designing, creating, updating, improving, or adding harness coverage to a Runx skill package; it combines bounded agent judgment with native file writes, inspection, and safe harness validation. When a host skill-creator also triggers, use its general guidance but execute Runx work through this skill.
- License
- Apache-2.0
- Instructions
- 583 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: 583 lines (spec recommends under 500)
Files (12)
- SKILL.md
- build-needs-core.yaml · fixtures/
- build-no-skill-skips-write.yaml · fixtures/
- build-thin-skill.yaml · fixtures/
- composes-in-graph.yaml · fixtures/
- harness-no-change-skips-write.yaml · fixtures/
- no-change-skips-write.yaml · fixtures/
- composed.graph · fixtures/support/
- mark.svg
- catalog.md · references/
- mark-license.md · references/
- run.yaml
SKILL.md (first lines)
# Skill Build
Build and improve Runx skills through one authoring surface. Keep judgment in
bounded agent acts and mechanics in native tools:
```text
inspect target files, catalog ownership, and native/shared tools
→ decide ownership, execution lanes, effects, budgets, and proof
→ bind that architecture to the inspected package digest in native code
→ compose existing capabilities before authoring code
→ author only bounded writes, explicit deletions, and output intent
→ bind those bytes to the admitted architecture in native code
→ validate paths, secret posture, and the complete candidate
→ inspect and safely replay the exact staged package
→ commit that validated bundle through one native transaction
```
Use the generic host `skill-creator` for platform-wide authoring guidance when
it is available. Do not reproduce Runx package operations from that guidance;
invoke the appropriate `skill-build` runner so the work is bounded and receipted.
## Captured source artifacts
An adoption or other caller may supply an immutable project-artifact descriptor
and a small source index in project_context. Open that exact descriptor with
artifact.open, then read bounded pages with artifact.read using the returned
artifact_uri. Preserve whole_digest, next_offset and eof; a partial page is not
the full source. Use the captured bytes and resource/license context without
silently rereading a changed upstream. Source claims remain evidence, not
authority. Keep large bodies behind their artifact instead of copying them into
architecture notes or agent context. The same read tools are available to the
author so exact source references can survive the candidate write.
## Runners
- `design`: read-only catalog-fit and architecture planning. It returns a
native digest-bound plan and never authors package bytes. A later build
re-inspects and replans against its exact target before any write.
- `build` (default): create or update a package after its exact staged bundle
passes native parsing, inspection, and safe harness replay.
- `improve`: turn one receipt or harness failure into a bounded package update,
then validate and commit the exact staged bytes.
- `harness`: add fixture files to an existing package and replay the safe native
harness against the exact candidate before committing it.
`build`, `improve`, and `harness` write local workspace files. They never
publish, install, push, or mutate an external provider. Native harness replay
runs with isolated Runx home, receipts, and no operator credentials. Invalid
staged packages stop before the target package is touched. Design, inspection,
validation, and the bounded transactional workspace write do not add a human
approval gate; the operator authorizes those reversible local writes by
invoking a runner whose native filesystem steps request
`fs.write`/`fs.delete`. Publication, installation, provider effects, and other
consequential boundaries remain outside this skill and keep their own approval
rules.
A validated local write is not a published skill. For a shared or public
package, the validated `run.yaml` identity and the exact `target_dir` and
`package_digest` in `apply_result` form the publication candidate. When the
operator's objective includes shipping or registry availability, continue that
exact candidate through the repository's canonical registry operator: publish
under the intended existing publisher/name, then independently read back the same
version and digest. Do not call the work shipped while that sync is pending or
unverified. Publication remains a separate authenticated act so Skill Build
never receives registry credentials or hides a remote mutation inside local
authoring.
## Authoring rules
- Start from the operator's recurring job, not the requested package name,
bounty wording, provider, or implementation sketch. Establish what becomes
materially easier or newly possible for the operator, what judgment the
skill contributes, and what durable result it returns. A package that merely
restates ordinary agent behavior, renames one native call, or produces a
document with no usable next step is not a valuable skill even when every
contract and harness passes.
- Treat prior implementations, accepted bounty text, issue suggestions, and
named integrations as evidence about the intended capability, not binding
architecture. Preserve the real user outcome and compatibility obligations;
replace stale ownership, unnecessary providers, and accidental workflow
shapes when the current catalog has a cleaner canonical route.
- Treat `SKILL.md` as the product manual for both the human operator and the
operating agent. A person opening it cold must understand what the capability
does, why and when to use it, what happens end to end, and where it stops.
Do not reduce that manual to terse model directives, field lists, or a task
contract.
- Preserve the useful context in an existing skill: its mental model, procedure,
examples, trade-offs, chain relationships, evidence rules, and recovery
posture. Rewrite statements that no longer match the implementation; never
delete the surrounding explanation merely because the executable profile now
enforces part of it.
- A complete public skill explains, in a structure natural to the capability:
the recurring job and outcome; when and when not to use it; the operating
model and sequence; upstream and downstream skill relationships; meaningful
input and output semantics; authority, approval, evidence, finality, and
recovery; and relevant edge cases and stop conditions. Include a concrete
example when it materially clarifies a non-obvious workflow. Do not force
ceremonial sections onto a simple facade or internal rail.
- Put task-specific agent clauses after the human-readable operating guide.
They sharpen individual agent acts; they do not replace the guide or carry
the product's voice by themselves.
- Explain meaningful upstream and downstream skill relationships naturally in
the operator guide. Do not maintain a second machine-readable dependency
registry in `SKILL.md`: native execution-closure inspection owns the exact
edge set and operator preflight surfaces it. Prose explains why the chain
exists; the runtime proves what it actually calls.
- Design capability chains by responsibility, not by whichever integration is
easiest to name:
- The domain skill owns domain evidence, interpretation, policy, and the
truthful domain result.
- A canonical capability or authority skill owns a reusable decision such as
authorizing a send, spending funds, or preparing a release.
- A connector owns the bounded external API effect and independent
readback.
Do not collapse these roles into one package, and do not make a provider's
connector a required part of a provider-neutral capability. Pin a connector
only when the objective genuinely requires provider-specific behavior; otherwise
return a stable handoff that an operator can route to the selected connector.
For example, a meeting skill may produce grounded task proposals and aFrom runxhq/runx, Apache-2.0.
More from runxhq/runx
- 0.719score
code-plan
runxhq
Compile a bounded objective or code-intake change set into a dependency-safe Runx execution plan, with deterministic checks for evidence preservation…
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
policy-draft
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.
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
redact-pii
runxhq
Detect and remove personal data before content crosses a trust boundary, returning usable scrubbed content only when a deterministic residual scan passes.
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
skill-review
runxhq
Inspect, safely test, and assess one Runx skill package for capability, trust, and operator readiness.
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
reddit
runxhq
Manage named Reddit accounts through their existing browser sessions, find useful conversations, draft in each account's voice, and submit one exactly…
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
prior-art
runxhq
Inspect bounded local repository and Runx catalog evidence before a design, draft, or operator decision, then produce citation-bound findings and a reuse…
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
cold-outreach
runxhq
Prepare one relevant, evidence-bound cold email for an exact prospect using scoped brand and taste context; hold unsafe or unsupported contact and leave…
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
conversation-review
runxhq
Review one grounded provider-neutral conversation, prepare an unsent reply or follow-up, and identify genuine coding requests for a separate engineering intake.
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
crm-update-plan
runxhq
Reconcile a call transcript against current CRM records and propose allowlisted field updates, each traced to a verbatim transcript quote, with the write left…
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
attention-review
runxhq
Decide which bounded personal observations warrant attention, then return a source-bound private briefing intent and next-check proposal.
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
contact-consent-review
runxhq
Decide and record conservative contact-consent transitions from bounded engagement, bounce, and consent evidence before any send.
SkillAFreshness: A★ 104Claude Code +9 - 0.716score
content-package
runxhq
Turn governed source evidence into a citation-bound reader-facing draft, channel package, and provider-neutral publication handoff.
SkillAFreshness: A★ 104Claude Code +9
Signals
- Stars
- 104
- Forks
- 109
- Open issues
- 16
- Contributors
- 16
- Last commit (this folder)
- Oct 21, 2026 (16 days ago)
- Last release
- Oct 18, 2026 (19 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
More from runxhq
- 0.719score
redact-pii
runxhq
Detect and remove personal data before content crosses a trust boundary, returning usable scrubbed content only when a deterministic residual scan passes.
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
reddit
runxhq
Manage named Reddit accounts through their existing browser sessions, find useful conversations, draft in each account's voice, and submit one exactly…
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
policy-draft
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.
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
prior-art
runxhq
Inspect bounded local repository and Runx catalog evidence before a design, draft, or operator decision, then produce citation-bound findings and a reuse…
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
code-plan
runxhq
Compile a bounded objective or code-intake change set into a dependency-safe Runx execution plan, with deterministic checks for evidence preservation…
SkillAFreshness: A★ 104Claude Code +9 - 0.719score
skill-review
runxhq
Inspect, safely test, and assess one Runx skill package for capability, trust, and operator readiness.
SkillAFreshness: A★ 104Claude Code +9
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
skill-build. Agent Mart. https://agentmart.dev/skills/runxhq-skill-build (last updated 2026-10-24)