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 zgbrenner/agentcounsel --skill entity-compliancegit clone --depth 1 https://github.com/zgbrenner/agentcounselWrote 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/zgbrenner/agentcounsel/entity-compliance)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/entity-compliance"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/entity-compliance/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/zgbrenner/agentcounsel/entity-compliance"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/entity-compliance.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 | $0.00051 | $0.03909 |
| Opus 5 | $0.00026 | $0.01954 |
| Sonnet 5 | $0.00010 | $0.00782 |
| Haiku 4.5 | $0.00005 | $0.00391 |
Grade A, and why
Entity Compliance Review 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Entity Compliance Review
Purpose
Produce a structured, attorney-ready review of an organization's corporate-entity compliance posture. The review organizes what the user supplies about each entity's periodic filing obligations — annual reports, franchise filings, foreign-qualification registrations, registered-agent status, and good-standing currency — and flags items that are overdue, due soon, of unknown status, or otherwise requiring verification.
This skill records and organizes information supplied by the user. It does not populate, calculate, or infer any filing deadline, fee, due date, or filing requirement from model background knowledge. Every obligation in the output comes from the user; everything else is flagged for confirmation with the registered agent or the relevant authority. The output is draft legal work product for attorney review — not legal advice and not a substitute for a registered-agent compliance calendar.
Use When
- A user asks to "review our entity compliance," "check our good-standing status," or "organize our filing obligations" across a portfolio of legal entities.
- An in-house team or outside counsel wants a structured snapshot of where each entity stands on periodic filing and good-standing obligations before a transaction, audit, or board presentation.
- A prior registered-agent compliance report or internal tracker needs to be organized and gap-flagged in attorney-ready format.
- The user needs to identify which entities are overdue, due soon, or without a recent good-standing confirmation, so the attorney can prioritize remediation.
Required Inputs
- Entity list. For each entity:
- Legal name (as formed or registered).
- Entity type (corporation, LLC, limited partnership, limited liability limited partnership, or other — specify).
- Jurisdiction of formation.
- Any additional jurisdictions where the entity is qualified or registered to do business (foreign qualification).
- Name of registered agent and, if applicable, whether a registered-agent service is managing the compliance calendar.
- Formation date or, if unavailable, the approximate year of formation.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 162 lines · 51 tokens per session scan A 1d4c6e9f1d07
Entity Compliance Review is a skill published in the GitHub repository zgbrenner/agentcounsel (18 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 3,909 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 2026-08-30.
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