agentsclimarketplace

Agent native

Skill boshu2/agentops/skills/agent-native

Operate explicit orchestrator, implementer, validator, and scribe roles through a caller-selected agent runtime. Triggers: "agent-native factory", "role-shaped agent panes", "persistent workers".From its SKILL.md

Install
npx -y skills add boshu2/agentops --skill agent-native

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

3.8 KB, as published. Nobody here has run it

Agent Native

Operate caller-selected agent sessions as explicit roles without turning the runtime into AgentOps lifecycle authority.

For caller-elected multi-model judgment (mixed council, dueling perspectives, cross-model validate), follow references/model-dispatch.md: the working session is the controller; probe codex-exec and ntm at runtime; never require either; never use Agent Mail for judgment; never invoke claude -p.

Role separation works because each role's authority is checkable from its packet: a worker that cannot exceed its declared subject cannot corrupt a sibling's evidence, so factory failures stay local instead of systemic.

When a worker looks stuck, score interventions by evidence and reversibility before acting: observe more (free, fully reversible), then nudge, then replace the worker, then restart the runtime — escalate only when observable state, not impatience, rules out the cheaper step. Stop the observe-nudge cycle once the worker reaches a terminal status or the caller's observation window ends; past that point further intervention manufactures noise, not evidence.

Named failure mode — prompt-send optimism: treating a successfully delivered prompt as a working worker; delivery proves transport, not engagement.

Anti-pattern: restarting an unresponsive worker as the first move. Corrective: capture its observable state first — a restart destroys the evidence of why it stalled, and rescue is usually cheaper than rerun.

Roles

  • Orchestrator: passes explicit packets and reports runtime facts.
  • Implementer: may modify only its packet's declared subject.
  • Validator: receives exact candidate content in a fresh, read-only context.
  • Scribe: records runtime evidence without judging acceptance.

Contract

  1. Require an explicit packet, role, workspace, context identity, and evidence destination before starting a worker.
  2. Prove runtime readiness and engagement from observable state; a successful prompt send is not proof of work.
  3. Keep concurrent writers disjoint and isolated. Runtime coordination is not a claim, lease, queue, or completion state in AgentOps.
  4. Record provider state, transcript references, artifacts, and terminal status.
  5. Return runtime evidence to the caller. Do not convert provider retries, reconnects, idle states, or failures into Plan, Candidate, or verdict state.
  6. A validator session may supply judgment to Validate, but only Validate writes verdict.v2. The adapter cannot select AgentOps semantics, issue a binding verdict, or turn factory completion into delivery or validation proof.

NTM, Codex exec, native processes, Agent Mail, and Gas City are replaceable adapters. Use them only when the caller selected that execution shape. A single local agent pays no factory coordination cost. Model identity, when recorded, is a declared runtime fact like context identity — see references/model-dispatch.md.

What ships with it: 2 files

11.3 KB alongside SKILL.md, 1 of them executable

references/

scripts/

Gives 0 of the 12 instructions most context ai engineering skills give

Counted across 1,328 of the 2,349 authors here whose files we hold, read 2026-09-06

  • Dispatch a fresh subagent for each taskin 76 of 1328, across 59 files
  • Perform spec compliance review before code quality reviewin 44 of 1328, across 34 files
  • Dispatch a final code reviewer after all tasksin 38 of 1328, across 26 files
  • Answer subagent questions before allowing implementationin 36 of 1328, across 26 files
  • Use the least powerful model capable of the taskin 33 of 1328, across 26 files
  • Create a TodoWrite list for all tasksin 32 of 1328, across 22 files
  • Perform a task review after each implementationin 31 of 1328, across 24 files
  • Extract all tasks and context from the planin 29 of 1328, across 20 files
  • Provide full task text to subagentsin 28 of 1328, across 20 files
  • Use git worktrees for isolated workspacesin 25 of 1328, across 20 files
  • Specify the model explicitly when dispatching a subagentin 23 of 1328, across 18 files
  • Execute all tasks from the plan without stoppingin 21 of 1328, across 16 files

Said here and by no other author read

  • Require explicit packet and role before starting a worker
  • Prove engagement from observable state
  • Keep concurrent writers disjoint and isolated
  • Record provider state and terminal status
  • Return runtime evidence to the caller
  • Observe state before intervening in stuck workers

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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Skills are one crate of 626,474. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.