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 employee-policy-reviewgit 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/employee-policy-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/employee-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/employee-policy-review/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/employee-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/employee-policy-review.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 | $0.00041 | $0.04110 |
| Opus 5 | $0.00020 | $0.02055 |
| Sonnet 5 | $0.00008 | $0.00822 |
| Haiku 4.5 | $0.00004 | $0.00411 |
Grade A, and why
Employee Policy 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 12d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employee Policy Review
Purpose
Produce a structured, attorney-ready review of an employee handbook or individual workplace policy, or of a proposed change to an existing handbook or policy. The skill systematically surfaces clarity problems, internal contradictions, coverage gaps, language that may create unintended contractual commitments, outdated or ambiguous procedures, and acknowledgment or disclaimer issues — so that employment counsel can conduct an efficient substantive review. When the input is a proposed change rather than a whole document, the skill additionally checks for ripple effects across the rest of the handbook (cross-references, defined terms, related policies, location supplements) and flags any benefit reductions or altered promises the change would introduce. It does NOT certify legal compliance or conclude that any provision is lawful or unlawful. This is draft legal work product — not legal advice.
Use When
- A user asks to "review our employee handbook" or "check this policy for problems."
- An HR team is preparing to roll out a new or updated handbook and wants a structured gap and issues analysis before counsel review.
- A policy has not been updated in several years and the user needs a systematic review of what may be stale.
- A specific policy (e.g., remote work, leave, social media, progressive discipline) has been flagged as potentially problematic and the user needs an organized issues list.
- Counsel is onboarding a new employer client and needs a first-pass issues inventory of existing policies.
- The user phrases it as: "does our handbook cover everything it should?" or "flag anything that looks like a risk."
- A user is proposing a change to one or more sections of an existing handbook and wants to know what else in the handbook the change may break, contradict, or affect before the change is published.
- A proposed change reduces or removes an employee benefit or alters a commitment the handbook previously made, and the user needs those implications surfaced for attorney review.
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.
- 12d ago First seen · 159 lines · 41 tokens per session scan A dbf5fef76192
Employee Policy Review is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 4,110 once invoked, about $0.0002 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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