incipit

Incipit is a Go-based CLI that takes structured resume data (JSON/Markdown) and generates formatted outputs (PDF via HTML/Chromium and/or LaTeX, DOCX, and Markdown), using a template system. It also provides AI commands to create/review/optimize resumes via multiple LLM providers (Anthropic, OpenAI, Google, or local Ollama), and can validate inputs using an exported JSON Schema.

Evaluated Apr 04, 2026 (0d ago)
Repo ↗ Career Tools cli resume templates pdf docx latex html markdown ai llm go
⚙ Agent Friendliness
40
/ 100
Can an agent use this?
🔒 Security
33
/ 100
Is it safe for agents?
⚡ Reliability
32
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
55
Error Messages
0
Auth Simplicity
90
Rate Limits
0

🔒 Security

TLS Enforcement
30
Auth Strength
45
Scope Granularity
0
Dep. Hygiene
40
Secret Handling
50

AI integration uses environment variables for provider API keys (reduces hardcoding risk), but the README does not describe transport security, prompt/redaction controls, logging behavior, or key handling guarantees. Execution of external renderers (Chromium/TeX Live) implies typical local command execution risks; template customization could also introduce unsafe content if untrusted templates are used. LLM calls may transmit resume content to third-party providers depending on configuration.

⚡ Reliability

Uptime/SLA
0
Version Stability
50
Breaking Changes
50
Error Recovery
30
AF Security Reliability

Best When

You want an offline/local-first CLI workflow for resume generation and can optionally add LLM-backed guidance for resume structure and phrasing.

Avoid When

You need a standardized authenticated REST/SDK experience for programmatic use, or you require strict governance over where AI prompts/resume content are sent.

Use Cases

  • Convert resume data into polished PDF/HTML/LaTeX/DOCX/Markdown using templates
  • Generate or transform resume JSON from freeform text via AI
  • AI-assisted resume review, scoring, and job-targeted optimization
  • Validate resume JSON against a schema before rendering
  • Create reusable custom templates for consistent resume formatting

Not For

  • A web-hosted or multi-user service requiring an API server
  • Use as a secure document pipeline without verifying template/LLM behaviors
  • Batch generation at very high scale without cost/rate-limit controls for LLM providers
  • Environments where TeX Live/Chromium cannot be installed or where execution of external renderers is restricted

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: Environment-variable based API keys for AI providers: ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY Local fallback via Ollama (connection/local model selection)
OAuth: No Scopes: No

Auth is implicit and done via local environment variables and provider selection for AI commands; there is no described user OAuth flow or fine-grained scopes.

Pricing

Free tier: No
Requires CC: No

The CLI itself is open-source (Apache-2.0) and can be run locally; AI provider costs depend on which provider is configured.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No MCP/SDK/API described; agents must shell out to the CLI and manage files/paths
  • AI provider behavior and cost/rate limiting are provider-dependent and not documented here
  • PDF/LaTeX generation depends on external binaries (Chromium via Rod; TeX Live) that may fail in constrained environments
  • Rendering and workspace output paths may be time-stamped/managed; agents should capture expected output locations

Alternatives

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Scores are editorial opinions as of 2026-04-04.

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