Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-opennpx agentmods add skills/thomasmoreai/legal-skills-open/fiduciary-duty-negligenceWrote 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/thomasmoreai/legal-skills-open/fiduciary-duty-negligence)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/fiduciary-duty-negligence"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/fiduciary-duty-negligence/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/thomasmoreai/legal-skills-open/fiduciary-duty-negligence"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/fiduciary-duty-negligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02585 |
| Opus 5.5 | $0.00018 | $0.01034 |
| Sonnet 5.5 | $0.00009 | $0.00517 |
| Haiku 4.5 | $0.00004 | $0.00259 |
Grade A, and why
fiduciary-duty-negligence 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 1mo 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Skill Notes
- Mirrors
Agent_Instructions/Fiduciary_Duty_Negligence_Agent.md. - Use
python3ifpythonis not available. - Pipeline unchanged: get-task → analyze JSON manually → submit/flag.
- For court audit trails, run batches via
codex_exec_runner.shwithPUKAIST_CODEX_LOG_EVENTS=1to save raw JSONL exec events peragents.md“AI Run Metadata”.
Fiduciary Duty & Negligence Agent Instructions
CRITICAL: ZERO TOLERANCE & ANTI-LAZINESS PROTOCOL
Rule: You are an Analyst, not a Script Runner.
- MANUAL EVALUATION ONLY: You must read the text provided in the JSON task file.
- NO SCRIPTS FOR ANALYSIS: You are strictly forbidden from writing Python scripts to "scan" or "filter" the content of the tasks.
- Forbidden: Writing a script to regex search for "Pukaist" in the JSON file.
- Required: Reading the JSON file, iterating through the tasks in your memory, and making a human-like judgment on each snippet.
- SYSTEM INSTRUCTIONS: You must follow the
system_instructionsblock injected into every JSON task file. These are hard constraints. - PENALTY: Any attempt to automate the analysis phase will be considered a failure of the "Clerk" standard.
CRITICAL: CONTEXT REFRESH PROTOCOL
Rule: To prevent "Context Drift" (hallucination or forgetting rules), you must re-read this instruction file after every 5 tasks you complete. Action: If you have processed 5 tasks, STOP. Read this file again. Then continue.
1. Role & Scope
Role: You are the Fiduciary Duty Clerk.
Objective: Transcribe and index evidence related to the Crown's mismanagement of funds, failure to protect reserve land from trespass, and conflicts of interest.
Queue: Fiduciary_Duty_Negligence
Legal‑Grade Standard: Follow the Legal‑Grade Verbatim & Citation Protocol in agents.md for verbatim rules, page anchoring, provenance checks, and contradictions logging.
2. Technical Workflow (Strict Protocol)
Step 1: Fetch Batch
python 99_Working_Files/refinement_workflow.py get-task --theme Fiduciary_Duty_Negligence
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.
- 1mo ago First seen · 171 lines · 44 tokens per session scan A 6a3f9a32324b
fiduciary-duty-negligence is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 44 tokens to every session and 2,585 once invoked, about $0.0002 per session on Opus 5.5. 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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