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 agentmods add commands/flyfission/nuclear-grade-context-engineering/ng-decide-authoritygit clone --depth 1 https://github.com/FlyFission/nuclear-grade-context-engineeringWrote 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/commands/flyfission/nuclear-grade-context-engineering/ng-decide-authority)<a href="https://agentmods.dev/commands/flyfission/nuclear-grade-context-engineering/ng-decide-authority"><img src="https://agentmods.dev/badge/commands/flyfission/nuclear-grade-context-engineering/ng-decide-authority.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00871 |
| Opus 5 | $0.00000 | $0.00436 |
| Sonnet 5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
ng-decide-authority 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 6d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ng-decide-authority
Portable command prompt generated from skills/deciding-who-decides/SKILL.md. Edit the skill, then run python tools/ng.py gen-commands; do not edit this file by hand.
Decides who holds authority for a change — the agent at the edge or a human gate — by matching decision rights to reversibility, evidence, and consequence, and names the escalation trigger. Use when an agent could act on something irreversible, trust-bearing, or thinly evidenced. Do not use for trivial reversible edits, or to justify skipping a required human approval.
Use when
- An agent is about to act and it is unclear whether it may decide alone or must ask first.
- A change is irreversible, touches users, data, credentials, dependencies, agent authority, or a release.
- The evidence behind a decision is thin, contested, or rests only on the agent's own confidence.
- You are setting up an agent's standing authority and want explicit decision rights and escalation thresholds.
Do not use when
- The edit is trivial and reversible with obvious proof and no new trust boundary.
- A required human approval already exists; this skill never exists to talk past it.
- An incident is live and you must stabilize first (use
responding-to-incidents).
Inputs
- The proposed action, its target, and whether it can be undone.
- The exact Evidence IDs in
verification.md, their coded source states, intended use, and custody/coupling profile. - The controlling policy ID/version, policy authority, policy custodian, policy digest, and validity or non-expiry basis.
- The consequence if it is wrong, and who is affected.
- The agent's granted authority, effective stop/reversal capability, and any standing rule or human gate that already applies.
- The actors proposed for prepare, recommend, verify, validate, verdict, accept, apply, reopen, and close.
Prompt text
Decide who decides for this action the Nuclear-grade way.
Inputs:
- exact action, target, and stable identity:
- controlling policy ID/version, authority, custodian, digest, and validity:
- reversible? (yes/no):
- `verification.md` Evidence IDs, coded source states, V&V status, and custody/coupling profile:
- consequence if wrong and effective stop/reversal capability:
- granted agent authority / existing human gates:
Create or update `decision-authority.md` using the repository template. Allocate prepare, recommend, verify, validate, verdict, accept, apply, reopen, and close. Name each right's evidence-basis authority. Derive one declaration-relative structural result, name every transfer trigger, preserve unknown/disputed states, and record reopen/closure controls.
Run `ng validate <packet> --strict-authority`. Do not let confidence, technical capability, repository activity, or nominal human presence stand in for evidence or authorization.
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.
- 6d ago First seen · 58 lines · 0 tokens per session scan A 02d24a904e65
ng-decide-authority is a command published in the GitHub repository FlyFission/nuclear-grade-context-engineering (33 stars, last pushed 27d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 871 tokens. 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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