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 hiring-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/hiring-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/hiring-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/hiring-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/hiring-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/hiring-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 | $0.00048 | $0.03813 |
| Opus 5 | $0.00024 | $0.01906 |
| Sonnet 5 | $0.00010 | $0.00763 |
| Haiku 4.5 | $0.00005 | $0.00381 |
Grade A, and why
Hiring 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 11d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hiring Review
Purpose
Produce a structured, attorney-ready review of an employment offer letter and any accompanying restrictive-covenant exhibits. The skill verifies that the proposed terms are internally consistent, flags classification and statutory issues tied to the candidate's actual work jurisdiction, and surfaces enforceability questions on every restrictive covenant — without asserting jurisdiction-specific legal rules. The output is a draft hiring review memo with a verdict. This is draft legal work product for attorney review — not legal advice.
Use When
- An employer, HR team, or counsel asks for a first-pass review of an offer letter before it is sent to a candidate.
- A candidate or their counsel asks for a structured review of an offer they have received.
- A user asks to "check this offer," "is this offer letter okay to use," or "flag anything I should look at before signing."
- The offer includes restrictive-covenant exhibits (non-compete, non-solicitation, IP assignment, confidentiality) and the team wants an issues list organized by covenant type.
- Counsel needs a jurisdiction and classification flag-list to begin their own analysis.
Required Inputs
- The full offer letter text: uploaded or pasted. Do not review from a summary or description — the actual document text is required.
- Candidate's actual work location: the physical location where the candidate will perform work — a specific city and state/province/country, or a confirmed remote home location. This is not the company headquarters unless they are the same. If unknown, stop and request it; the work jurisdiction determines which statutory requirements apply.
- Role title and proposed compensation: the title as stated in the offer and the base salary or wage rate as stated.
- Proposed exempt or non-exempt classification (where the employer has indicated one, or where the offer structure implies one): identify the stated or implied classification from the offer text.
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.
- 11d ago First seen · 176 lines · 48 tokens per session scan A db7412ee8a9d
Hiring Review is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 3,813 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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