{"id":"artemiimillier-bulletproof","name":"bulletproof","homepage":null,"repo_url":"https://github.com/artemiimillier/bulletproof","category":"devtools","subcategories":[],"tags":["ai-agents","ai-coding","code-review","tdd","verification","security-scan","dev-workflow","agent-skills"],"what_it_does":"Bulletproof provides a 12-stage, spec-and-verification-first workflow (with templates and sub-agents) for using AI coding agents more safely and reliably—aimed at reducing regressions, ensuring acceptance criteria are met, performing impact analysis, running security scanning, and enforcing anti-rationalization gates before completion.","use_cases":["Building production features with AI-assisted coding where regression risk is high","AI-driven bug fixes that must preserve existing behavior","Architecture or multi-file changes that require explicit impact analysis","Teams standardizing how AI coding agents plan, implement, verify, and review changes","Use with Agent Skills–compatible tools (e.g., Claude Code) to guide an agent through a gated engineering workflow"],"not_for":["Teams looking for a runtime API/service for deploying AI models","Applications needing a self-hosted server offering model inference endpoints","Scenarios requiring strict compliance guarantees without human oversight and environment-specific testing"],"best_when":"When you want an AI coding workflow that enforces contracts (spec/acceptance criteria), verification steps, and gated completion to reduce “done when it isn’t done” outcomes.","avoid_when":"When you can’t run the required tests/verification steps (or don’t have a suitable test suite), since the workflow’s value depends on those gates.","alternatives":["OpenAI/Anthropic prompt checklists and workflow guides","SWE-bench style evaluation harnesses and CI-driven guardrails","Agent framework templates (e.g., LangGraph-style multi-step pipelines) with your own verification steps","Repo-specific engineering checklists: spec-first, test-first, security scanning, and code review policies"],"af_score":45.8,"security_score":60.0,"reliability_score":33.8,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:49:57.569142+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No network API/auth described; this appears to be a local skill/workflow used by agent clients."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information in the provided README content; repository is MIT-licensed and appears to be a skill/workflow rather than a paid service."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":45.8,"security_score":60.0,"reliability_score":33.8,"mcp_server_quality":0.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":100.0,"auth_strength":50.0,"scope_granularity":50.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"No direct service API is described; security scanning is listed as a workflow stage. Because implementation details (e.g., how scans are executed, what credentials/secrets are used, and dependency versions) are not present in the provided README excerpt, scores are conservative. TLS/auth relate to absence of a network interface rather than guaranteed secure behavior of the underlying workflow execution environment.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":40.0,"error_recovery":55.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["The workflow’s effectiveness depends on having runnable tests and being able to perform verification/impact analysis steps in your repo.","If the agent client or skill integration doesn’t support the described Agent Skills hooks/templates, the workflow may not be applied as intended.","AI-generated security scanning results still require interpretation/review appropriate for your risk tolerance."]}}