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 offering-document-disclosure-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/offering-document-disclosure-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/offering-document-disclosure-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/offering-document-disclosure-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/offering-document-disclosure-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/offering-document-disclosure-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 | $0.00064 | $0.02648 |
| Opus 5 | $0.00032 | $0.01324 |
| Sonnet 5 | $0.00013 | $0.00530 |
| Haiku 4.5 | $0.00006 | $0.00265 |
Grade A, and why
Offering Document Disclosure 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offering Document Disclosure Review
Purpose
Review an offering document (S-1, S-3, S-4, prospectus supplement, private placement memorandum, or offering memorandum) and surface section-by-section disclosure gaps, consistency issues, and questions for counsel. The skill records gaps and patterns; the attorney concludes adequacy. This skill provides draft work product for attorney review only and is not legal advice.
Use When
- An offering document is in draft and the deal team needs a structured disclosure-gap pass before counsel deep-dives.
- A prior offering document is being updated for a new offering, and the user needs section-by-section "what changed" / "what's missing" surfaced.
- A PPM or OM is being reviewed for a private placement and the user needs disclosure consistency with the candidate exemption and any concurrent public filings.
Required Inputs
- Jurisdiction and governing law, or
[verify jurisdiction]. - Document type (S-1, S-3, S-4, S-8, prospectus supplement, PPM, OM, other).
- Issuer profile (reporting status, fiscal history, prior filings).
- Offering structure (primary / secondary / mixed; underwritten / placed; shelf / standalone).
- Document set: the offering document itself, related periodic filings, exhibits, prior offering documents, financial statements.
- User-surfaced material developments not yet in the document (litigation, regulatory inquiry, customer loss, supply-chain disruption, cyber incident, restatement consideration, going-concern indicator).
- Any concurrent or contemplated SEC filings or 8-K triggers.
If the document set, document type, or material-development inventory is missing, stop substantive analysis and return an intake gap list.
Do Not Use When
- The user asks for the document to be approved or for disclosure to be characterized as adequate or complete.
- The user asks the model to conclude that a particular omission is or is not material.
- The user asks for a final filing decision or signing approval.
- The substantive review of risk factors alone is needed (route to
risk-factor-review); the cross-filing consistency review alone is needed (route tosec-filing-consistency-check); the comfort-backup request tracking is needed (route tocomfort-backup-request-tracker).
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 · 134 lines · 64 tokens per session scan A 4afdc6b6fb3b
Offering Document Disclosure Review is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,648 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 2026-09-03.
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