sero-subagent-orchestration

REVIEW · 56
Registry indexed

Orchestrate parallel implementation and fresh validation agents safely in the Sero repository. Use when a task asks for pi-subagents, parallel workers, isolated worktrees, review-and-fix loops, or several independent fixes that must be integrated and reviewed without Claude Code.

Verified installs0
Stars19
Version1.0.0
Quality60/100 · Promising
Trust56/100 · Do not auto-install
Audit73/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sero-labs/sero --skill sero-subagent-orchestration

Maintenance

fresh

3d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

19

60/100 Quality · 64/100 Trust

Coverage tags

CodingGitHub automationcoding-agentsagent-skill

Review notes

Permission surface may require sandboxing · The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
60

Useful candidate, but compare it with alternatives before adopting.

Trust

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
73

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

19 GitHub stars

Repo activity

19 stars, 1 forks

Maintenance

3d since push

License

Apache-2.0

Install

npx skills add sero-labs/sero --skill sero-subagent-orchestration

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add sero-labs/sero --skill sero-subagent-orchestration
Policy
review
Human review
yes

Trust and risk

Trust
56/100
Audit
73/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add sero-labs/sero --skill sero-subagent-orchestration

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.
  • High-risk permission hints: Shell or command execution

Agent safety v2

41/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sero-labs-sero-subagent-orchestration

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use sero-subagent-orchestration in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20sero-subagent-orchestration%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sero-labs-sero-subagent-orchestration/install
Install command: npx skills add sero-labs/sero --skill sero-subagent-orchestration
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use sero-subagent-orchestration for this task. Review https://www.openagentskill.com/api/skills/sero-labs-sero-subagent-orchestration/install, then install with: npx skills add sero-labs/sero --skill sero-subagent-orchestration

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

61/100

GitHub automation

Platforms

Claude Code

Audit report

Needs review · 73/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

61
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 60/100 quality profile
  • 6 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal
  • The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
OpenAgentSkill Trust Score

GitHub adoption

FIX

19 GitHub stars

Stars/forks activity

FIX

19 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 19 GitHub stars
  • Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

60
GitHub stars
19
Freshness
3d ago
Install ready
Yes
License
Apache-2.0
Review before install: Low GitHub adoption signal · The skill references an external 'pi-subagents' skill as the canonical API guide, which is not included in this submission. Users may need to locate that separately.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: sero-subagent-orchestration description: Orchestrate parallel implementation and fresh validation agents safely in the Sero repository. Use when a task asks for pi-subagents, parallel workers, isolated worktrees, review-and-fix loops, or several independent fixes that must be integrated and reviewed without Claude Code. ---

# Sero Subagent Orchestration

Use the `pi-subagents` skill as the canonical API guide. Apply this project workflow for reliable Sero implementation.

## 1. Preflight one worker

Do not launch the full fleet first.

1. Call `subagent({ action: "list" })`. Use only an executable, non-disabled agent. 2. Call `subagent({ action: "models" })` and select an exact model ID from the active registry. 3. Run one read-only smoke task with the exact agent, model, context, and tools planned for implementation. 4. Require the smoke task to read `AGENTS.md`, inspect `git status`, and read one target source symbol. 5. Start implementation only after the smoke task proves repository tools work.

An agent can start successfully but still have no repository tools. A configured model can also differ from the model shown by inherited defaults. Test both. Custom agent tool lists are strict: legacy tool names can leave the child with only supervisor contact. Include the current repository execution tool, such as `exec`, in the allowlist.

If the model fails, pass an exact model ID returned by the active registry. If tools fail, use a project worker whose strict allowlist includes `exec` and the required diagnostic tools. Run `list` and repeat the smoke test after any agent change. Do not use the `claude-code` agent.

## 2. Design independent lanes

Group findings by source seam, not by issue number. Two lanes must not edit the same production file. Give each lane:

- a distinct goal and source seam; - exact evidence and acceptance criteria; - authority limits: no push, merge, PR comment, publish, or release; - functional regression tests and focused validation; - the Sero 500 LOC check; - a required Conventional Commit and commit SHA report.

Use `context: "fresh"` and `worktree: true` for every parallel writer. Keep one writer in each worktree. Use stable `runs.all` keys and an async workflow. Do not edit the parent worktree while writers run.

Keep producer and consumer changes in one lane when they form one runtime contract. A fix is incomplete if planning or approval accepts data that the final runtime cannot load or enforce.

## 3. Run and supervise

Use one `workflowScript` for the implementation wave:

```javascript const results = await runs.all([ { key: "validation", agent: "sero-fix-worker", model: "<verified-model-id>", context: "fresh", worktree: true, task: "Implement the validation lane, test it, commit it, and report the SHA." }, { key: "lifecycle", agent: "sero-fix-worker", model: "<verified-model-id>", context: "fresh", worktree: true, task: "Implement the lifecycle lane, test it, commit it, and report the SHA." } ]); return results.map(({ key, runId, output, handoff }) => ({ key, runId, output, handoff })); ```

Use `subagent_wait` only when the user asked for run-to-completion. Reply to supervisor requests before waiting. Never poll with sleep or repeated status calls.

If a supervisor request needs a product, authority, or security decision:

1. Pause the writer. 2. Explain the affected user-facing object in plain language before asking for a choice. 3. Record the user's exact decision. 4. Resume the same retained session. Do not launch a replacement while the original child can still be live.

If a detached child needs attention but no pending request is available, interrupt it to a safe paused state, then resume that retained run with the decision. Preserve its worktree and session instead of starting a second writer.

## 4. Integrate through the parent

Inspect each handoff and commit before integration. Cherry-pick commits one at a time into the clean parent branch. Resolve overlap centrally, then run:

- proactive diagnostics on touched files; - focused tests for every fault class; - root `pnpm typecheck`; - touched source file line counts; - React Doctor when React files changed; - documentation and prototype checks required by `AGENTS.md`.

Run the full affected package suite after focused tests. It catches stale assertions that isolated fix tests can miss. Recheck the complete touched-file list after integration because a one-line edit can make an existing file exceed 500 LOC.

Managed worktrees can have incomplete dependency links. Do not run concurrent installs that mutate shared `node_modules`. Use the existing frozen repository install where possible. If the parent links are damaged, restore them once after all writers stop with the frozen lockfile, confirm no lockfile change, then rerun validation in the parent.

Check whether the integrated range changes `packages/*`. Record the npm republish requirement even when the last fix commit did not touch that package.

Do not push until integrated validation is green.

## 5. Validate with fresh reviewers

Launch a new read-only `runs.all` wave after integration. Use distinct angles:

- correctness, races, and security boundaries; - regression tests, failure injection, and fault-class sweeps; - simplicity, Sero constraints, docs, and file size.

Reviewers must read the integrated parent HEAD and exact base range, not a worker branch. Give file and line evidence and make no edits. Assign at least one reviewer to trace end-to-end contracts from discovery or planning through approval, persistence, and final runtime use. Tests of only the first half of a contract are not sufficient.

Reconcile all reports in the parent. If a real blocker remains, use one fix worker, integrate it, and repeat with new fresh context. Use a bounded review loop, normally three rounds. Stop when no correctness, data-loss, or security blocker remains. Treat transient aggregate-test failures as evidence to investigate: rerun the affected package and exact test, then report the result without hiding the unstable aggregate run.

## 6. Report and update the PR

Follow the `sero-code-review` skill. Give a green or red code verdict, list the status of every earlier finding, state exact validation, and separate non-code merge blockers. Update one existing PR review comment with:

```bash gh pr comment <pr> --edit-last --create-if-none --body-file <file> ```

Push the validated integrated commits before posting so the PR head matches the reviewed SHA. Confirm the remote head, draft checks, and clean local status. Never stack review comments. Keep the PR a draft unless the user explicitly asks otherwise.

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 19, 2026
Published
Aug 19, 2026

Decision snapshot

Fallback candidate

61
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

73
Needs review
Security
74/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for sero-subagent-orchestration, ready for a manual X post.

Curator note
sero-subagent-orchestration: Orchestrate parallel implementation and fresh validation agents safely in the Sero repository...

19 stars

https://www.openagentskill.com/skills/sero-labs-sero-subagent-orchestration?ref=x
Open X draft
Optional reply with install command
Listing + install path for sero-subagent-orchestration:
https://www.openagentskill.com/skills/sero-labs-sero-subagent-orchestration?ref=x

Install: npx skills add sero-labs/sero --skill sero-subagent-orchestration

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
sero-labs
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to sero-labs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

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Author

S

sero-labs

@sero-labs

Platform fit

Health signals

GitHub stars
19
Quality score
33/100
Last GitHub push
Aug 19, 2026
Framework hints
Unknown
OpenAgentSkill views
6
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

56
  • GitHub adoption19 GitHub starsFIX
  • Stars/forks activity19 stars, 1 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance3d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO