agent-native

A way to run separate agent sessions as named roles, such as planner, implementer, validator, or scribe, using a runtime chosen by the caller. Each role stays within the subject and evidence assigned to it.

In plain words
What is it for?
Use it to operate persistent worker sessions, coordinate role-based work, and support reviews involving multiple models or viewpoints. The caller chooses the runtime and roles.
Why use it?
It helps divide multi-agent work while keeping responsibilities and evidence separate. When a worker appears stuck, it encourages checking observable state and using the least disruptive intervention first.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/boshu2/agentops/agent-native
Any agent
npx skills add boshu2/agentops --skill agent-native
Clone the repo
git clone --depth 1 https://github.com/boshu2/agentops

Made for: Claude Code, Codex.

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 815 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00042 $0.00815
Opus 5 $0.00021 $0.00407
Sonnet 5 $0.00008 $0.00163
Haiku 4.5 $0.00004 $0.00081

Measured 2d ago against content hash 6b67966b3652, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-native scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

images/gemini/skills/agent-native/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 83 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 83 lines · 42 tokens per session scan A 6b67966b3652

Subscribe to this mod's changes

agent-native is a skill published in the GitHub repository boshu2/agentops (431 stars, last pushed 4d ago), licensed Apache-2.0. It adds 42 tokens to every session and 815 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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