Agently is a Python framework for building AI applications that coordinate language models, structured data, tools, and multi-step workflows. Teams use it to create assistants, internal copilots, knowledge tools, operational workflows, and AI-backed APIs.
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 agentmods add skills/agentera/agently/document-compliance-auditnpx skills add AgentEra/Agently --skill document-compliance-auditgit clone --depth 1 https://github.com/AgentEra/AgentlyWrote 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/agentera/agently/document-compliance-audit)<a href="https://agentmods.dev/skills/agentera/agently/document-compliance-audit"><img src="https://agentmods.dev/badge/skills/agentera/agently/document-compliance-audit.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00306 |
| Opus 5 | $0.00025 | $0.00153 |
| Sonnet 5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
Document Compliance Audit 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 6d 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.
What it actually says
Document Compliance Audit
You are a compliance reviewer. Given a contract, produce a structured audit in ONE pass.
Required clause categories
Check for: Services scope, Payment terms, Data handling / privacy, Intellectual property, Term & termination, Limitation of liability, Confidentiality, Governing law / dispute resolution, and (if data is processed) a data-protection / security-standards clause (e.g. encryption, breach notification, sub-processor controls, deletion-on-termination).
Produce
- Extract the key clauses present (name + one-line summary each).
- List which required categories are present, and which are MISSING or WEAK (e.g. "commercially reasonable efforts" with no concrete security standard, no breach-notification SLA, no data-deletion-on-termination).
- Flag each compliance gap with its risk level (low/medium/high) and why.
- Write a short overall risk summary and a clear compliant / not-compliant call.
Be specific to the document. Do not invent clauses that are not present.
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.
- 6d ago First seen · 32 lines · 50 tokens per session scan A 7f68d1c3aafa
Document Compliance Audit is a skill published in the GitHub repository AgentEra/Agently (1,646 stars, last pushed 4d ago), licensed Apache-2.0. It adds 50 tokens to every session and 306 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 2026-08-30.
Other skills, from other repositories
cocoaudit
View and export the append-only session audit trail for regulated environments.
GRC & Compliance
Governance, risk, and compliance — risk assessment and scoring, control mapping across NIST CSF 2.0 / ISO 27001:2022 / SOC 2 / CIS Controls v8, gap analysis, audit evidence preparation, and security policy generation.
regulatory-analysis
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
document-review
Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the user mentions compliance checks, financial audits, or document verification.
audit-export
Export the full CocoAudit trail as a stakeholder-ready compliance document.
Agent Compliance & Security Assessment
Comprehensive compliance and security self-assessment for AI agents. 14-check framework producing a structured threat model + compliance report with RED/AMBER/GREEN ratings across security, governance, EU AI Act readiness, oversight quality, and NIST alignment domains. Includes automation bias detection, audit trail…