Sponsored by
PoYo.AI
Openclaw Skills turns AI product details into the right CAC filing path, required materials, submission steps, and ongoing compliance actions.
bettermen
v1.0.0
Jul 10, 2026
0
490
0
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install algorithm-filing
2. Manual Installation
Copy the skill folder to one of these locations
Global
~/.openclaw/skills/ Workspace
<project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install algorithm-filing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Algorithm Filing Assistant?
Openclaw Skills is a regulatory filing assistant for AI large models and algorithms under China CAC requirements. It analyzes your product scenario, determines whether you need a large model filing, large model registration, algorithm filing, dual-new assessment, or no filing, then converts that decision into an actionable compliance plan.
It is built for teams shipping public-facing AI services, wrapped third-party model APIs, personalization/recommendation systems, and other algorithm-driven products. Openclaw Skills helps you prepare the filing materials, generate a security assessment report framework, guide system submission on beian.cac.gov.cn, and maintain post-filing compliance across changes, annual checks, logging, and content review.
Algorithm Filing Assistant Use Cases
- You built or fine-tuned a self-developed large model and plan to offer public API access.
- You wrapped a third-party filed model into a standalone application and need to confirm whether large model registration plus algorithm filing applies.
- You provide AI-generated text, image, audio, or video services and need the correct algorithm filing type.
- You run recommendation, ranking, filtering, search, or personalization logic that may require algorithm filing.
- You need a CAC-ready materials checklist, including legal entity documents, responsible person records, ICP/permit information, and filing commitments.
- You need a security assessment report outline aligned to the filing type and current regulatory expectations.
- You are submitting through beian.cac.gov.cn and want a step-by-step workflow for registration, algorithm information upload, and review.
- Your filing was rejected and you need a structured remediation plan based on common rejection reasons.
- Your filing is already approved and you need a post-filing compliance plan for changes, annual self-checks, logs retention, and public notice requirements.
How Algorithm Filing Assistant Works
- Collect the product profile: company identity, model source, deployment mode, whether the service is public-facing, the output types it generates, and whether it performs ranking, recommendation, filtering, or other algorithmic decisions.
- Classify the compliance path: Openclaw Skills maps the scenario to large model filing, large model registration, algorithm filing, dual-new assessment, or no filing, and explains the legal and operational rationale.
- Generate the materials checklist: it assembles the required base materials plus any model-specific, algorithm-specific, or product-linked attachments needed for submission.
- Draft the security assessment framework: it produces a structured outline for the relevant report, including the data, evidence, risk dimensions, and controls expected by the filing process.
- Guide the filing workflow: it walks through account registration, subject review, algorithm information entry, product binding, commitment confirmation, and review submission on beian.cac.gov.cn.
- Support post-filing operations: it outputs ongoing compliance actions for public notice, change reporting, annual self-checks, log retention, content review, and re-filing when the product changes.
- Handle rejections and revisions: if the submission is bounced back, Openclaw Skills maps the issue to common rejection reasons and generates a targeted correction plan.
Algorithm Filing Assistant Setup
- No local package installation is required; this is a prompt-driven Openclaw Skills workflow.
- Prepare a concise product description before invocation: company type, model type, public exposure, API/app form, algorithm behavior, output type, and content safety controls.
- If you have Tencent Docs or Tencent Docs Enterprise connected, enable the connector so generated filing docs can be exported directly; otherwise, outputs stay in Markdown.
- Use the skill by describing your AI product and asking for filing classification, materials, and submission guidance.
# No CLI installation is required.
# Provide the agent with a product summary such as:
# "I have a self-developed text generation model serving the public via API."
# Then request:
# "Determine the filing type, required materials, and security assessment framework."
Algorithm Filing Assistant Data Schema & Taxonomy
| Layer | Artifact | Purpose | Source Rules / Taxonomy |
|---|---|---|---|
| Input profile | Product and organization description | Captures the facts needed to determine compliance scope | entity type, public-facing status, model origin, API/app wrapping, personalization, ranking/filtering, output media, internal-only use |
| Filing classification | Compliance decision matrix | Maps the scenario to the correct filing path | large model filing, large model registration, algorithm filing (generative synthesis, other), dual-new assessment, no filing, change filing, annual review, cancellation |
| Materials package | Material checklist | Produces the required submission attachments | business license, legal rep ID, responsible person ID/work proof, ICP filing/permit, commitment letter, algorithm responsibility statement, product-linked evidence |
| Report framework | Security assessment outline | Structures the filing report by required dimensions | large model: data safety, model safety, generated content safety, protective measures; algorithm: template-based multi-dimension risk assessment and defenses |
| Filing workflow | Submission playbook | Guides form completion and review steps | subject registration, algorithm info submission, product-function binding, approval waiting, revision after rejection |
| Post-filing compliance | Ongoing control plan | Tracks obligations after approval | public notice, change reporting within 10 working days, termination cancellation within 20 working days, annual self-checks, log retention, content review |
| Rejection remediation | Correction log | Converts review feedback into a revised submission | rejection reason, impacted section, evidence gap, fix plan, resubmission status |
| Reference files | Markdown knowledge assets | Standardizes reusable guidance | references/material-checklist.md, references/security-assessment-framework.md, references/filing-workflow.md, references/common-rejection-reasons.md |
Metadata taxonomy
filing_type:large_model_filing,large_model_registration,algorithm_filing_generative,algorithm_filing_other,dual_new_assessment,no_filingstage:planning,material_prep,document_drafting,system_submission,review,post_filing,remediationrisk_area:data_legality,content_filtering,copyright,personal_information,training_safety,prompt_injection,minors_protection,public_opinioncontrol_metric:external_data_share,risk_coverage,content_test_count,refusal_test_count,manual_review_rate,log_retention_months,compliance_threshold
Key numeric checks used in outputs
| Metric | Target |
|---|---|
| External data share | <= 30% |
| Risk coverage | >= 17 categories |
| Content test questions | >= 2000 |
| Refusal test questions | >= 500 |
| Sensitive-scene refusal rate | >= 95% |
| Manual review rate | >= 10% |
| Log retention | >= 6 months |
| Security assessment report length | 60-90 pages |
| Personal information detection after masking | 0 |
| Model safety test coverage | 31 risk scenarios |
| Overall compliance threshold | >= 90% |
Algorithm Filing Assistant Advanced Features
- Multi-path compliance classification for large model filing, algorithm filing, large model registration, dual-new assessment, and no-filing scenarios.
- Auto-generated materials checklists tailored to the product type, deployment form, and current filing stage.
- Security assessment report frameworks aligned to the current filing template and GB/T 45654-2025 expectations for large models.
- Step-by-step submission guidance for beian.cac.gov.cn, including account registration, algorithm information entry, and review readiness.
- Rejection analysis and remediation planning based on common CAC review failure patterns.
- Post-filing compliance playbooks covering public notice, change management, annual self-checks, and log retention.
- Threshold-based risk checks that surface missing evidence, weak controls, or insufficient coverage before submission.
- Tencent Docs connector support for exporting generated filing documents directly into collaborative workspaces when available.
- Markdown-first fallback output for environments without external document connectors.
SKILL.md
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