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 edd-file-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/edd-file-review)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/edd-file-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/edd-file-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/edd-file-review"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/edd-file-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 | $0.00097 | $0.03765 |
| Opus 5 | $0.00048 | $0.01883 |
| Sonnet 5 | $0.00019 | $0.00753 |
| Haiku 4.5 | $0.00010 | $0.00377 |
Grade A, and why
EDD File 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EDD File Review
Purpose
Produce a structured, review-ready draft review of an enhanced-due-diligence (EDD) file for a high-risk customer. The skill inventories the EDD file against the enhanced measures the firm's own EDD policy requires for the applicable risk driver(s), organizes the source-of-wealth and source-of-funds documentation status, maps the beneficial-ownership chain layer by layer as facts with visible gaps, and packages a draft escalation and disposition recommendation for the compliance officer.
This skill provides workflow discipline and analytical structure. It produces draft work product for review by the firm's compliance function and a supervising attorney. This is not legal advice and not a customer-acceptance or retention decision. The skill never concludes that the customer is acceptable or unacceptable — it shows what the file contains, what the policy requires, and where the gaps are; the compliance officer and counsel decide.
Use When
- A user says "review this EDD file," "check whether this PEP file meets our EDD policy," or "organize the source-of-wealth documentation for this high-risk client."
- A customer has been escalated to enhanced due diligence — as a PEP, a high-risk-jurisdiction customer, a complex ownership structure, a cash-intensive business, or a correspondent relationship — and the assembled file needs a structured first-pass review before approval.
- A periodic EDD refresh is due and the existing file must be checked against the firm's current EDD policy.
- A
kyc-onboarding-reviewrun produced an escalate-to-EDD disposition and the resulting EDD file is now ready for review.
Required Inputs
- The EDD file: the actual documents — uploaded or pasted. Typically source-of-wealth and source-of-funds evidence, ownership and control documents (registers, org charts, trust deeds, UBO declarations), sanctions / PEP / adverse-media screening results, the documented purpose and intended nature of the relationship, any site-visit or reference reports, and senior-management approvals. If no file is provided, stop and request it.
- The firm's EDD policy or procedures: the firm document defining which enhanced measures apply to which risk drivers, the documentation standards, and the approval requirements. If not provided, stop and request it. Do not construct EDD requirements from model background knowledge.
- Customer context: the risk driver(s) that triggered EDD (as documented or user-stated) and the nature and purpose of the relationship.
- Prior periodic reviews (optional): earlier EDD or periodic-review outcomes for the customer.
- Transaction or expected-activity data (optional): where provided, it informs the consistency observations; the skill does not perform transaction monitoring.
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 · 166 lines · 97 tokens per session scan A 0aed7db4e816
EDD File Review is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 3,765 once invoked, about $0.0005 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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