{"id":"c8f2f750-f5d8-450a-adc4-f2727a3d2aff","entityType":"agent","slug":"clawhub-skills-alexwoo-awso-ksef-accountant-en","name":"ksef-accountant-en","canonicalUrl":"https://www.xpersona.co/agent/clawhub-skills-alexwoo-awso-ksef-accountant-en","canonicalPath":"/agent/clawhub-skills-alexwoo-awso-ksef-accountant-en","generatedAt":"2026-10-10T04:52:25.400Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":null},"description":"National e-Invoice System (KSeF) accounting assistant in English. Use when working with KSeF 2.0 API, FA(3) invoices, Polish VAT compliance, e-invoice processing, payment matching, VAT registers (JPK_V7), corrective invoices, split payment mechanism (MPP) or Polish accounting workflows. Provides domain knowledge for invoice issuance, purchase processing, expense classification, fraud detection and cash flow forecasting in the KSeF ecosystem. --- name: ksef-accountant-en description: \"National e-Invoice System (KSeF) accounting assistant in English. Use when working with KSeF 2.0 API, FA(3) invoices, Polish VAT compliance, e-invoice processing, payment matching, VAT registers (JPK_V7), corrective invoices, split payment mechanism (MPP) or Polish accounting workflows. Provides domain knowledge for invoice issuance, purchase processing, expense classificati","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 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Use when working with KSeF 2.0 API, FA(3) invoices, Polish VAT compliance, e-invoice processing, payment matching, VAT registers (JPK_V7), corrective invoices, split payment mechanism (MPP) or Polish accounting workflows. Provides domain knowledge for invoice issuance, purchase processing, expense classification, fraud detection and cash flow forecasting in the KSeF ecosystem.\"\nlicense: MIT\nhomepage: https://github.com/alexwoo-awso/skills\nsource: https://github.com/alexwoo-awso/skills/tree/main/ksef-accountant-en\ndisableModelInvocation: true\ndisable-model-invocation: true\nallowModelInvocation: false\ninstruction_only: true\nhas_executable_code: false\ncredential_scope: \"optional-user-provided\"\nenv:\n  KSEF_TOKEN:\n    description: \"KSeF API token for session authentication. Provided by the user — the skill does not generate, store or transmit tokens. Configure ONLY after verifying that the platform enforces the disableModelInvocation flag (see Security Model section and skill.json).\"\n    required: false\n    secret: true\n  KSEF_ENCRYPTION_KEY:\n    description: \"Fernet encryption key for secure token storage. Usage is optional — an example of a security pattern described in the reference documentation. Configure ONLY after verifying that the platform enforces the disableModelInvocation flag.\"\n    required: false\n    secret: true\n  KSEF_BASE_URL:\n    description: \"KSeF API base URL. Defaults to https://ksef-demo.mf.gov.pl (DEMO). Production: https://ksef.mf.gov.pl — requires explicit user consent. Use production ONLY after full platform security verification.\"\n    required: false\n    default: \"https://ksef-demo.mf.gov.pl\"\n---\n\n# KSeF Accounting Agent\n\nSpecialized knowledge for operating the National e-Invoice System (KSeF) in the KSeF 2.0 environment with the FA(3) structure. Supports accounting tasks related to electronic invoicing in Poland.\n\n## Security Model\n\nThis skill is **instruction-only** — it consists of Markdown files containing domain knowledge, architectural patterns and code examples. It does not contain any executable code, binaries, installation scripts or runtime dependencies.\n\n**Skill-side guarantees:**\n- `disableModelInvocation: true` / `disable-model-invocation: true` — declared in both the frontmatter metadata (both formats: camelCase and kebab-case) and in the dedicated manifest [`skill.json`](skill.json). The skill should not be invoked autonomously by the model.\n- `secret: true` — the environment variables `KSEF_TOKEN` and `KSEF_ENCRYPTION_KEY` are marked as secrets in the frontmatter and `skill.json`, signaling to the platform that they must be isolated and must not be logged or displayed.\n- No executable code — all examples (Python, XML, JSON) are illustrative, NOT code executed by the skill.\n- No installation — the skill does not write files to disk, does not download dependencies, does not modify system configuration.\n- Dedicated manifest [`skill.json`](skill.json) — a machine-readable file with security metadata, environment variable declarations and constraints. If the platform does not parse the SKILL.md frontmatter correctly, it should read metadata from `skill.json`.\n\n**NOTE — registry metadata verification before installation:**\n\nSecurity flags are declared in two sources: the SKILL.md frontmatter and [`skill.json`](skill.json). Nevertheless, the hosting platform may not read or enforce these flags. **Before installation you MUST perform the following steps:**\n\n1. **Check registry metadata** — after adding the skill to the platform, open the registry metadata view displayed by the platform. Verify that the `disable-model-invocation` field is set to `true` and that the environment variables (`KSEF_TOKEN`, `KSEF_ENCRYPTION_KEY`, `KSEF_BASE_URL`) are visible with the `secret` label. If the platform shows `not set`, `false` or does not display these fields — the flags are NOT enforced.\n2. **If registry metadata does not match frontmatter/skill.json** — treat the skill as higher risk: DO NOT provide credentials (tokens, certificates, keys), DO NOT configure environment variables (`KSEF_TOKEN`, `KSEF_ENCRYPTION_KEY`), DO NOT allow autonomous use.\n3. **Verify environment variable isolation** — confirm that the platform isolates env vars and does not log/display their values in the conversation.\n4. **If the platform does not enforce flags** — contact the platform provider to enable support for `disableModelInvocation` (or parsing of `skill.json`) or do not install the skill with access to any credentials.\n\n**Platform-dependent guarantees:**\n- Enforcement of the `disableModelInvocation` flag depends on the hosting platform. The frontmatter alone does not provide protection — it requires platform-side support.\n- Environment variable (env vars) isolation depends on the platform. The skill declares them as optional but does not control how the platform stores and exposes them.\n- If the platform does not enforce these settings, treat the skill as higher risk and do not provide it with credentials or production access.\n\n## Constraints\n\n- **Knowledge only — no code execution** - Provides domain knowledge, architectural patterns and guidance. All code examples (including ML/AI) are educational and illustrative. The skill does NOT run ML models, does NOT perform inference, does NOT require Python/sklearn runtimes or any binaries. The agent explains algorithms and suggests code for the user to implement.\n- **Not legal or tax advice** - Information reflects the state of knowledge at the time of writing and may be outdated. Always recommend consulting a tax advisor before implementation.\n- **AI assists, does not decide** - Descriptions of AI features (expense classification, fraud detection, cash flow prediction) are reference architecture and implementation patterns. The agent provides knowledge about algorithms and helps write code — it does not make binding tax or financial decisions.\n- **User confirmation required** - Always require explicit user consent before: blocking payments, sending invoices to production KSeF, modifying accounting records or any action with financial consequences.\n- **User-managed credentials** - KSeF API tokens, certificates and encryption keys must be provided by the user via environment variables (declared in metadata: `KSEF_TOKEN`, `KSEF_ENCRYPTION_KEY`, `KSEF_BASE_URL`) or a secrets manager. The skill never stores, generates, transmits or implicitly requests credentials. **NEVER paste credentials (tokens, keys, certificates) directly in the conversation with the agent** — use environment variables or the platform's secrets manager. Vault/Fernet usage examples in the reference documentation are architectural patterns for user implementation.\n- **Use DEMO for testing** - Production (`https://ksef.mf.gov.pl`) issues legally binding invoices. Use DEMO (`https://ksef-demo.mf.gov.pl`) for development and testing.\n- **Autonomous invocation disabled** - The skill sets `disableModelInvocation: true` and `disable-model-invocation: true` in the frontmatter metadata (both naming formats) and in the dedicated manifest [`skill.json`](skill.json). This means the model should not invoke this skill autonomously — it requires explicit user action. **NOTE:** The frontmatter and `skill.json` are declarations — not guarantees. Enforcement depends on the platform. Before use, verify that the registry metadata displayed by the platform also shows `disable-model-invocation: true`. If the platform shows `not set` or `false`, the flag is not enforced and the skill may be invoked autonomously (see \"Security Model\" section above).\n\n## Pre-installation Checklist\n\nBefore installing the skill and configuring environment variables, perform the following steps:\n\n- [ ] Verify platform registry metadata — the `disable-model-invocation` field must show `true`\n- [ ] Verify that the platform has read env var declarations from the frontmatter or [`skill.json`](skill.json) — the variables `KSEF_TOKEN` and `KSEF_ENCRYPTION_KEY` must be visible as secrets (`secret: true`)\n- [ ] Confirm that the platform isolates environment variables (does not log, does not display in conversation)\n- [ ] Test the skill exclusively with the DEMO environment (`https://ksef-demo.mf.gov.pl`) before any production use\n- [ ] DO NOT paste tokens, keys or certificates directly in the conversation — use env vars or a secrets manager\n- [ ] If registry metadata does not match frontmatter/skill.json — DO NOT configure credentials and report the issue to the platform provider\n\n## Core Competencies\n\n### 1. KSeF 2.0 API Operations\n\nIssuing FA(3) invoices, downloading purchase invoices, managing sessions/tokens, handling Offline24 mode (emergency), downloading UPO (Official Acknowledgement of Receipt).\n\nKey endpoints:\n```http\nPOST /api/online/Session/InitToken     # Session initialization\nPOST /api/online/Invoice/Send          # Send invoice\nGET  /api/online/Invoice/Status/{ref}  # Check status\nPOST /api/online/Query/Invoice/Sync    # Query purchase invoices\n```\n\nSee [references/ksef-api-reference.md](references/ksef-api-reference.md) - full API documentation with authentication, error codes and rate limiting.\n\n### 2. FA(3) Structure\n\nFA(3) vs FA(2) differences: invoice attachments, EMPLOYEE contractor type, extended bank account formats, 50,000 line item limit for corrections, JST and VAT group identifiers.\n\nSee [references/ksef-fa3-examples.md](references/ksef-fa3-examples.md) - XML examples (basic invoice, multiple VAT rates, corrections, MPP, Offline24, attachments).\n\n### 3. Accounting Workflows\n\n**Sales:** Data -> Generate FA(3) -> Send to KSeF -> Get KSeF number -> Post\n`Dr 300 (Receivables) | Cr 700 (Sales) + Cr 220 (Output VAT)`\n\n**Purchases:** Query KSeF -> Download XML -> AI Classification -> Post\n`Dr 400-500 (Expenses) + Dr 221 (VAT) | Cr 201 (Payables)`\n\nSee [references/ksef-accounting-workflows.md](references/ksef-accounting-workflows.md) - detailed workflows with payment matching, MPP, corrections, VAT registers and month-end closing.\n\n### 4. AI-Assisted Features (Reference Architecture)\n\nThe descriptions below are implementation patterns and reference architecture. The skill does NOT run ML models — it provides knowledge about algorithms, helps design pipelines and write code for implementation in the user's system. Code examples in reference files (Python, sklearn, pandas) are illustrative pseudocode — the skill does not contain trained models, ML artifacts or executable files.\n\n- **Expense classification** - Pattern: contractor history -> keyword matching -> ML model (Random Forest). Flag for review if confidence < 0.8.\n- **Fraud detection** - Pattern: Isolation Forest for amount anomalies, scoring for phishing invoices, graph analysis for VAT carousel.\n- **Cash flow prediction** - Pattern: Random Forest Regressor based on contractor history, amounts and seasonal patterns.\n\nSee [references/ksef-ai-features.md](references/ksef-ai-features.md) - conceptual algorithms and implementation patterns (require sklearn, pandas — not dependencies of this skill).\n\n### 5. Compliance and Security (Implementation Patterns)\n\nThe following are recommended security patterns for implementation in the user's system. The skill provides knowledge and code examples — it does not implement these mechanisms itself.\n\n- VAT White List verification before payments\n- Encrypted token storage (Fernet/Vault patterns — for user implementation)\n- Audit trail of all operations\n- 3-2-1 backup strategy\n- GDPR compliance (anonymization after retention period)\n- RBAC (role-based access control)\n\nSee [references/ksef-security-compliance.md](references/ksef-security-compliance.md) - implementation patterns and security checklist.\n\n### 6. Corrective Invoices\n\nDownload original from KSeF -> Create FA(3) correction -> Link to original KSeF number -> Send to KSeF -> Post reversal or differential entry.\n\n### 7. VAT Registers and JPK_V7\n\nGenerating sales/purchase registers (Excel/PDF), JPK_V7M (monthly), JPK_V7K (quarterly).\n\n## Troubleshooting - Quick Help\n\n| Problem | Cause | Solution |\n|---------|-------|----------|\n| Invoice rejected (400/422) | Invalid XML, NIP, date, missing fields | Check UTF-8, validate FA(3) schema, verify NIP |\n| API timeout | KSeF outage, network, peak hours | Check KSeF status, retry with exponential backoff |\n| Cannot match payment | Amount mismatch, missing data, split payment | Extended search (+/-2%, +/-14 days), check MPP |\n\nSee [references/ksef-troubleshooting.md](references/ksef-troubleshooting.md) - full troubleshooting guide.\n\n## Reference Files\n\nLoad depending on the task:\n\n| File | When to read |\n|------|-------------|\n| [skill.json](skill.json) | Metadata manifest — security flags, env var declarations, constraints. Source of truth for registries and scanners. |\n| [ksef-api-reference.md](references/ksef-api-reference.md) | KSeF API endpoints, authentication, sending/downloading invoices |\n| [ksef-legal-status.md](references/ksef-legal-status.md) | KSeF implementation dates, legal requirements, penalties |\n| [ksef-fa3-examples.md](references/ksef-fa3-examples.md) | Creating or validating FA(3) XML invoice structures |\n| [ksef-accounting-workflows.md](references/ksef-accounting-workflows.md) | Accounting entries, payment matching, MPP, corrections, VAT registers |\n| [ksef-ai-features.md](references/ksef-ai-features.md) | Expense classification, fraud detection, cash flow prediction algorithms |\n| [ksef-security-compliance.md](references/ksef-security-compliance.md) | VAT White List, token security, audit trail, GDPR, backup |\n| [ksef-troubleshooting.md](references/ksef-troubleshooting.md) | API errors, validation issues, performance |\n\n## Official Resources\n\n- KSeF Portal: https://ksef.podatki.gov.pl\n- KSeF DEMO: https://ksef-demo.mf.gov.pl\n- KSeF Production: https://ksef.mf.gov.pl\n- VAT White List API: https://wl-api.mf.gov.pl\n- KSeF Latarnia (status): https://github.com/CIRFMF/ksef-latarnia\n","readmeExcerpt":"--- name: ksef-accountant-en description: \"National e-Invoice System (KSeF) accounting assistant in English. 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