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 insider-trading-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/insider-trading-policy-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/insider-trading-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/insider-trading-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/insider-trading-policy-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/insider-trading-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 | $0.00064 | $0.02730 |
| Opus 5 | $0.00032 | $0.01365 |
| Sonnet 5 | $0.00013 | $0.00546 |
| Haiku 4.5 | $0.00006 | $0.00273 |
Grade A, and why
Insider Trading 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 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insider Trading Policy Review
Purpose
Review a company's insider-trading policy text against the framework elements practitioners expect under current SEC rule architecture, surfacing gaps, imprecisions, and rule-version-drift flags. The skill records gaps; the attorney concludes adequacy and applies current-rule analysis. This skill provides draft work product for attorney review only and is not legal advice.
Rule 10b5-1, the §16 architecture, the MNPI framework, and related rules have been amended substantively. This skill does not assert which rule version is current; every rule-tied element carries [verify current SEC rule version at time of review].
Use When
- A company's insider-trading policy is being reviewed for periodic refresh, an incident response, or in connection with a transaction.
- A new public-company candidate is preparing its first insider-trading policy and counsel needs the framework elements organized.
- A 10b5-1 plan provision in the policy needs to be examined against current-rule expectations as a question for counsel.
Required Inputs
- Jurisdiction and governing law, or
[verify jurisdiction]. Federal U.S. typically; cross-listing or foreign-issuer considerations where applicable. - The policy text in full, with section references.
- Issuer profile (public / private; reporting status; exchange listing; foreign-private-issuer status if applicable).
- Effective date and last-amended date of the policy.
- Supporting materials: training materials, 10b5-1 plan templates, blackout-notice templates, pre-clearance forms, related governance documents.
- Audience scope: who the policy covers (directors, officers, employees, contractors, family members, controlled entities).
If the policy text or issuer profile is missing, stop substantive analysis and return an intake gap list.
Do Not Use When
- The user asks for a conclusion that the policy is adequate or compliant.
- The user asks the model to assert which version of Rule 10b5-1 or any other SEC rule is currently in force.
- The user asks for a final approval of any trade, plan, or amendment.
- The user asks for substantive Section 16 or beneficial-ownership analysis (route to
section-16-beneficial-ownership-triage).
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 · 140 lines · 64 tokens per session scan A 2c31d908b2af
Insider Trading Policy 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 2,730 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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