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.
npx skills add AURORA-NEURO/aurora-agent --skill mission-lifecyclegit clone --depth 1 https://github.com/AURORA-NEURO/aurora-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aurora-neuro/aurora-agent/mission-lifecycle)<a href="https://agentmods.dev/skills/aurora-neuro/aurora-agent/mission-lifecycle"><img src="https://agentmods.dev/badge/skills/aurora-neuro/aurora-agent/mission-lifecycle/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aurora-neuro/aurora-agent/mission-lifecycle"><img src="https://agentmods.dev/badge/skills/aurora-neuro/aurora-agent/mission-lifecycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.00825 |
| Opus 5 | $0.00035 | $0.00413 |
| Sonnet 5 | $0.00014 | $0.00165 |
| Haiku 4.5 | $0.00007 | $0.00082 |
Grade A, and why
mission-lifecycle 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mission lifecycle
A mission is a validated DAG of MCP tool calls executed in-process with an explicit least-authority policy. Refusals are preserved verbatim; a structural success is never presented as a scientific one.
Mission shape (the fields that trip people)
{
"mission_id": "my-mission-1",
"goal": "compile the reference world",
"steps": [{
"id": "compile",
"domain": "fiber",
"capability": "context_compile",
"objective": "compile at L0",
"tool": "fiber_compile",
"arguments": { "world": "fixtures/fiber-v0.1/radiogenomic_world.json",
"query": "fixtures/fiber-v0.1/leakage_query.json" },
"depends_on": []
}],
"policy": { "execute": true, "allowed_tools": ["fiber_compile"],
"allow_side_effects": false, "max_steps": 4 }
}
- Every step requires
domainANDcapability(labels retained for routing and audit; the server does not infer semantics). Missing either →invalid_mission. policy.allowed_toolsis an allow-list; a step naming a tool outside it is refused: "agent mission refused: step X requests tool Y, which is not allow-listed".- Step
bindingsare validated JSON pointers pulling upstream results into dependent arguments;agent_missioncannot recurse into itself.
Three dispatch paths, one kernel
- Preflight (
POST /v1/missions/preflighton the gateway): validates and plans; returnspreflight: true,dispatch: "not_started", the digest-bound wave plan, and anoperations_evidenceblock. Nothing executes. Reportdispatchand the gatedecisionverbatim. - Synchronous (
agent_missionMCP tool): executes immediately, returns the full report —mission_status, per-stepresults[](raw JSON-RPC envelopes preserved, including refusals), a clock-freeexecution_trace, andclaim_lineage(claim_status: "unreviewed",readiness_claimed: falseuntil evaluator evidence exists — report these verbatim). - Async (
POST /v1/missions): queued with retry/lease semantics — but fail-closed: without a current operator gate acceptance covering every selected domain evidence gate it refuses withoperations_gate_acceptance_required. That is working as designed, not a bug. The acceptance is an operator decision recorded viaPOST /v1/operations/gate-reviewswith{gate_digest, reviewer, rationale, group_ids, accepted_gates}— it does not make the evidence better, and preflight'sdispatch_prerequisite: "acceptance_required"names the gap.
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.
- 9d ago First seen · 72 lines · 70 tokens per session scan A 7d4ee55c1494
mission-lifecycle is a skill published in the GitHub repository AURORA-NEURO/aurora-agent (1 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 825 once invoked, about $0.0003 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 2026-08-31.
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