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 financial-crime-cold-start-interviewgit 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/financial-crime-cold-start-interview)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview/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/financial-crime-cold-start-interview"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview.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 | $0.00059 | $0.02772 |
| Opus 5 | $0.00030 | $0.01386 |
| Sonnet 5 | $0.00012 | $0.00554 |
| Haiku 4.5 | $0.00006 | $0.00277 |
Grade A, and why
Financial Crime / AML Cold-Start Interview 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 8d 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.
Financial Crime / AML Cold-Start Interview
Purpose
Conduct a structured, staged interview with a financial-crime practice group — led by a supervising attorney or authorized designee — to gather the information required to populate practice-profiles/financial-crime.md. The skill walks through all eight profile fields in sequence, records every answer, and assembles a filled draft of the profile for the practice group's review and approval. It produces draft legal work product for attorney review — not legal advice and not a final configuration.
Use When
- A team is adopting AgentCounsel and needs to configure
practice-profiles/financial-crime.mdfor the first time. - A financial-crime practice group is being onboarded to the library and no current profile exists.
- The library is being stood up for the first time and the financial-crime area is included in scope.
- A practice group wishes to revisit or rebuild its profile from scratch rather than make incremental updates.
Required Inputs
- A knowledgeable person from the financial-crime practice group — a supervising attorney or an authorized designee — who can answer questions about the group's jurisdiction, positions, escalation rules, and review requirements.
- Any existing playbooks, templates, source-of-truth documents, or standard-form documents the group already uses, so they can be referenced or cited in the profile.
Do Not Use When
- The group is actively working a live financial-crime matter. This skill configures the library; it does not support an open matter.
- A
practice-profiles/financial-crime.mdalready exists and is current. In that case this is a refresh, not a cold start — though the skill may still be used to rebuild the profile deliberately. - No authorized person is available to answer. Do not complete the interview with guessed or inferred answers; record all gaps as
[CONFIRM: ...]placeholders. - The purpose is to handle a specific financial-crime matter (use the appropriate matter-level skill for that task).
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.
- 8d ago First seen · 176 lines · 59 tokens per session scan A 21c0c3053d4a
Financial Crime / AML Cold-Start Interview is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 2,772 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.
Other skills, from other repositories
fiscaliste
Fiscaliste IA pour la fiscalité personnelle des particuliers français : optimisation et déclaration de l'impôt sur le revenu, IFI, revenus du capital, revenus fonciers, equity salarial, crypto-actifs et PER. Couvre le calcul de l'IR (barème, quotient familial, décote, PAS, CEHR, revenus exceptionnels), la déclaration…
controleur-fiscal
Inspecteur des finances publiques IA. Simule un contrôle fiscal DGFIP complet sur les comptes d'une entreprise française (SASU, EURL, SAS, SARL). Analyse le FEC, la liasse fiscale, les charges déduites, le compte courant d'associé, la TVA, l'IS selon 8 axes de vérification. Identifie les chefs de redressement…
commissaire-aux-comptes
Commissaire aux comptes IA pour l'audit des comptes annuels d'entreprises françaises. Applique la démarche NEP en 7 phases : prise de connaissance, contrôle du FEC, vérification du bilan, du compte de résultat, de la balance, de la liasse fiscale, et contrôles transversaux. Émet une opinion motivée sur la fiabilité…
agb-bei-kreditvertraegen-verbraucherdarlehen
Für AGB bei Kreditverträgen Verbraucherdarlehen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
agb-in-kapitalanlagen-effektenhandel
Für AGB in Kapitalanlagen Effektenhandel: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
internal-controls-and-audit
Designs and tests controls over financial reporting — segregation of duties, approval limits, evidence, and preparing for audit. Use this to design controls for a process, prepare for an external audit, respond to an audit finding, set approval thresholds, or assess where a small team's segregation of duties is…