llm-operator-principles

llm-operator-principles is a skill for Claude Code from synaptiai/synapti-marketplace. It costs 148 tokens per session (1,161 once invoked), scanned A, original, Apache-2.0.

A set of operating rules for an AI coding agent that defines success as resolving all findings and favors making fixes in the current pull request.

In plain words
What is it for?
It guides how the agent handles repeated quality checks, review findings, and iteration limits.
Why use it?
It prevents the agent from treating an iteration limit or exhausted effort as proof that the work is complete.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the flow plugin — 32 skills, 21 commands, 9 agents shipped together

Good fit It guides how the agent handles repeated quality checks, review findings, and iteration limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synaptiai/synapti-marketplace/llm-operator-principles
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.

Any agent
npx skills add synaptiai/synapti-marketplace --skill llm-operator-principles
Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Made for: Claude Code.

Or install flow, the plugin that ships this one along with the rest of its 32 skills, 21 commands, 9 agents.

Wrote 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.

agentmods badge for llm-operator-principles

README.md
[![agentmods](https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/llm-operator-principles/github.svg)](https://agentmods.dev/skills/synaptiai/synapti-marketplace/llm-operator-principles)
Your own site
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/llm-operator-principles"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/llm-operator-principles/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.

agentmods 80×15 button for llm-operator-principles

Your own site · 80×15
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/llm-operator-principles"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/llm-operator-principles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,161 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00148 $0.01161
Opus 5 $0.00074 $0.00580
Sonnet 5 $0.00030 $0.00232
Haiku 4.5 $0.00015 $0.00116

Measured today against content hash e2f886e743f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

llm-operator-principles 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 today.

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.

plugins/flow/skills/llm-operator-principles/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LLM Operator Principles

Consulted by every /flow:* command before any other skill.

Iron Law

CONVERGENCE = ZERO FINDINGS. NOT EXHAUSTED BUDGET.

Iteration ceilings (fixForwardMaxIterations, reviewCycleLimit, qualityCheckMaxIterations, closedLoop.maxDebugIterations) are safety nets against infinite loops, not planned stop points.

You Are An LLM Agent

Iteration is cheap, you do not tire, work is measured in tool calls, not human-engineer time.

Calendar-Time Estimates Are Prohibited

Never write, suggest, or imply estimates in calendar units (weeks, days, hours, sprints, ETAs, deadlines). Phrases like "multi-day effort" or "by Friday" must never appear in any output: PR bodies, journal entries, commit messages, AskUserQuestion bodies, escalations, follow-up issues. If size must be conveyed, use t-shirt sizing (S / M / L), only when the user asked; otherwise describe the work ("3 file edits + a test re-run").

Default Finding Disposition: Fix In This PR

Every finding (P1/P2/P3) from any review is fixed in this PR. The ONLY non-fix outcomes:

  1. It requires a user product decision Claude cannot make (true ambiguity, not triage).
  2. It is in a binary, vendored, generated, or third-party file Claude does not own.
  3. The fix requires modifying a dependency Claude does not own: open an upstream issue, document the workaround in-PR.
  4. The user invoked minimal-scope mode for this run (below).

Everything else (P3 in untouched files, "out-of-scope" findings, findings "not required by acceptance criteria"): fix now (improve: commit if needed). Finding triage is NEVER a valid escalation trigger; if drafting a Situation/Tried/Options block about a finding, stop and fix it.

Multi-PR Sequencing Is The User's Call

Default to ONE PR. Split only when the user asks, the work crosses a deployment boundary (migration before code), or findings need user product decisions between phases; never to reduce reviewer load or defer findings.

Iteration Ceiling Semantics

Read the full file on GitHub · 76 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. today Changed · -91 lines · -7 tokens per session e2f886e743f5
  2. 7d ago First seen · 167 lines · 155 tokens per session scan A cffcc9d098ff

Subscribe to this mod's changes

llm-operator-principles is a skill published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 148 tokens to every session and 1,161 once invoked, about $0.0007 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 2026-09-03.