{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hn-47601608","slug":"castra-strip-orchestration-rights-from-your-llms","name":"Castra – Strip orchestration rights from your LLMs","type":"repo","url":"https://github.com/amangsingh/castra","page_url":"https://unfragile.ai/castra-strip-orchestration-rights-from-your-llms","categories":["automation"],"tags":["hackernews","show-hn"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hn-47601608__cap_0","uri":"capability://safety.moderation.llm.orchestration.capability.stripping.via.prompt.injection","name":"llm orchestration capability stripping via prompt injection","description":"Intercepts and modifies LLM prompts to remove or restrict orchestration directives, function-calling permissions, and tool-use capabilities before they reach the model. Works by parsing incoming prompts, identifying orchestration-related instructions (tool invocation, workflow control, agent loops), and either stripping them entirely or replacing them with constrained versions that prevent unauthorized execution. Uses pattern matching and instruction rewriting to maintain semantic intent while removing dangerous orchestration primitives.","intents":["I want to prevent my LLM from calling external tools or APIs without explicit approval","I need to restrict what functions an LLM can invoke in a multi-agent system","I want to audit and control orchestration capabilities before they reach production LLMs","I need to run untrusted or third-party prompts safely without giving them full orchestration access"],"best_for":["security-conscious teams deploying LLMs in production environments","developers building multi-agent systems who need fine-grained capability control","organizations running LLMs with restricted compute or API budgets","teams handling untrusted or user-generated prompts"],"limitations":["May not catch sophisticated prompt injection techniques that obfuscate orchestration intent","Stripping orchestration can break legitimate workflows that depend on tool-calling or function invocation","No built-in allowlist/denylist mechanism — requires external policy configuration","Pattern-matching approach may have false positives/negatives depending on prompt complexity","Does not provide runtime enforcement — only pre-execution filtering"],"requires":["Python 3.8+ or Node.js 14+ (depending on implementation)","Access to LLM API endpoints or local model inference","CLI environment or programmatic integration point"],"input_types":["text prompts","structured prompt templates","system instructions","function schemas"],"output_types":["modified prompts","stripped/sanitized instructions","audit logs of removed capabilities","policy violation reports"],"categories":["safety-moderation","prompt-engineering"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47601608__cap_1","uri":"capability://automation.workflow.cli.based.prompt.transformation.and.validation.pipeline","name":"cli-based prompt transformation and validation pipeline","description":"Provides a command-line interface for batch processing prompts through a transformation pipeline that validates, modifies, and logs changes to LLM instructions. Accepts prompts as input (via stdin, files, or API), applies orchestration stripping rules, validates the output against a policy schema, and returns sanitized prompts with detailed change logs. Implements a composable filter chain architecture where each stage (detection, stripping, validation, logging) can be independently configured or extended.","intents":["I want to batch-process a large set of prompts to remove orchestration capabilities before deployment","I need to validate that my prompts comply with security policies before sending them to LLMs","I want to integrate prompt sanitization into my CI/CD pipeline","I need detailed audit trails showing what orchestration capabilities were removed from each prompt"],"best_for":["DevOps and security teams managing LLM deployments at scale","CI/CD pipeline owners who need automated prompt validation gates","teams using Infrastructure-as-Code or GitOps workflows","organizations requiring compliance auditing of LLM interactions"],"limitations":["CLI-only interface — no native Python/JavaScript SDK for programmatic use","Batch processing may be slow for very large prompt datasets (>10k prompts)","No real-time streaming support — requires full prompt input before processing","Configuration is CLI-flag based, which can become unwieldy for complex policies","No built-in integration with major LLM platforms (OpenAI, Anthropic, etc.)"],"requires":["CLI environment (bash, zsh, PowerShell, etc.)","Read/write access to prompt files or stdin","Optional: configuration file in YAML or JSON format"],"input_types":["plain text prompts","prompt files (JSON, YAML, TXT)","stdin streams","policy configuration files"],"output_types":["sanitized prompts","JSON audit logs with change details","validation reports","exit codes for CI/CD integration"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47601608__cap_2","uri":"capability://safety.moderation.orchestration.capability.detection.and.classification","name":"orchestration capability detection and classification","description":"Analyzes prompts to identify and classify different types of orchestration directives (tool-calling, function invocation, agent loops, workflow control, multi-step planning). Uses pattern recognition and semantic analysis to detect both explicit orchestration instructions (e.g., 'call the weather API') and implicit ones (e.g., 'use available tools to solve this'). Classifies detected capabilities by type and severity, enabling fine-grained policy decisions about which to allow, restrict, or remove.","intents":["I want to understand what orchestration capabilities my prompts are requesting before they reach the LLM","I need to categorize and prioritize which orchestration directives pose the highest security risk","I want to generate reports on orchestration capability usage across my prompt library","I need to detect when users are trying to sneak orchestration capabilities into prompts"],"best_for":["security auditors reviewing LLM prompt libraries","teams building governance frameworks for LLM usage","researchers studying prompt injection and orchestration attacks","organizations implementing zero-trust policies for LLM interactions"],"limitations":["Detection accuracy depends on prompt clarity — obfuscated or indirect orchestration requests may be missed","Classification schema is fixed and may not cover novel or domain-specific orchestration patterns","No machine learning component — relies on rule-based pattern matching, which has inherent false positive/negative rates","Requires manual review of detected capabilities to determine actual risk level","No context awareness — cannot distinguish between legitimate and malicious orchestration intent"],"requires":["Prompt text input","Optional: custom classification rules or pattern definitions"],"input_types":["plain text prompts","structured prompt objects","prompt templates with variables"],"output_types":["detection results with confidence scores","capability classification (tool-calling, agent-loop, workflow-control, etc.)","severity ratings","JSON reports with detailed findings"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47601608__cap_3","uri":"capability://safety.moderation.policy.driven.capability.allowlist.denylist.enforcement","name":"policy-driven capability allowlist/denylist enforcement","description":"Enforces user-defined policies that specify which orchestration capabilities are allowed, restricted, or forbidden in prompts. Policies are defined as configuration files (YAML/JSON) that map capability types to enforcement actions (allow, restrict, deny). During prompt processing, the system checks detected capabilities against the policy and either permits them, applies restrictions (e.g., rate limiting, approval gates), or blocks them entirely. Supports role-based policies where different users or contexts have different capability allowances.","intents":["I want to define organization-wide rules about which orchestration capabilities are permitted","I need different capability restrictions for different teams or use cases","I want to enforce approval workflows for high-risk orchestration requests","I need to audit which capabilities each prompt is requesting and whether they comply with policy"],"best_for":["enterprise teams with governance and compliance requirements","organizations managing multiple LLM deployments with different security postures","teams implementing role-based access control for LLM capabilities","regulated industries (finance, healthcare) requiring strict capability auditing"],"limitations":["Policy configuration can become complex for large organizations with many rules","No built-in policy versioning or rollback mechanism","Policies are static — no dynamic policy updates based on runtime behavior","No conflict resolution when policies overlap or contradict","Requires manual policy maintenance as new orchestration patterns emerge"],"requires":["Policy configuration file (YAML or JSON format)","Castra CLI or SDK with policy engine enabled"],"input_types":["policy configuration files","prompts to validate against policies","user/role context for role-based policies"],"output_types":["policy compliance reports","approval/denial decisions","audit logs showing policy matches","structured policy violation details"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hn-47601608__cap_4","uri":"capability://text.generation.language.prompt.rewriting.with.orchestration.constraints","name":"prompt rewriting with orchestration constraints","description":"Automatically rewrites prompts to add explicit constraints on orchestration capabilities, converting unrestricted orchestration requests into bounded versions. For example, converts 'use any available tools to solve this' into 'use only the following tools: [list] and make at most 3 function calls'. Uses template-based rewriting that preserves the original intent while adding safety boundaries. Supports custom rewrite rules that can be tailored to specific LLM models or use cases.","intents":["I want to allow orchestration but with explicit limits on function calls, tool usage, or agent iterations","I need to convert open-ended orchestration requests into bounded versions","I want to add safety constraints to user-provided prompts without rejecting them entirely","I need to ensure orchestration stays within resource budgets (API calls, compute time, etc.)"],"best_for":["teams that want to enable orchestration but with safety guardrails","developers building cost-conscious LLM applications","organizations with resource constraints (API quotas, compute budgets)","teams migrating from unrestricted to controlled orchestration"],"limitations":["Rewriting may change prompt semantics in unexpected ways","No guarantee that rewritten prompts will be followed by the LLM (depends on model compliance)","Rewrite rules are static — no adaptive rewriting based on model behavior","May produce verbose or awkward prompts if constraints are complex","Difficult to verify that rewritten prompts achieve intended safety properties"],"requires":["Original prompt text","Constraint definitions (tool lists, call limits, iteration bounds, etc.)","Optional: custom rewrite rule templates"],"input_types":["plain text prompts","constraint specifications (JSON or YAML)","tool/function schemas"],"output_types":["rewritten prompts with constraints","change diffs showing what was added","constraint validation reports"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Python 3.8+ or Node.js 14+ (depending on implementation)","Access to LLM API endpoints or local model inference","CLI environment or programmatic integration point","CLI environment (bash, zsh, PowerShell, etc.)","Read/write access to prompt files or stdin","Optional: configuration file in YAML or JSON format","Prompt text input","Optional: custom classification rules or pattern definitions","Policy configuration file (YAML or JSON format)","Castra CLI or SDK with policy engine enabled"],"failure_modes":["May not catch sophisticated prompt injection techniques that obfuscate orchestration intent","Stripping orchestration can break legitimate workflows that depend on tool-calling or function invocation","No built-in allowlist/denylist mechanism — requires external policy configuration","Pattern-matching approach may have false positives/negatives depending on prompt complexity","Does not provide runtime enforcement — only pre-execution filtering","CLI-only interface — no native Python/JavaScript SDK for programmatic use","Batch processing may be slow for very large prompt datasets (>10k prompts)","No real-time streaming support — requires full prompt input before processing","Configuration is CLI-flag based, which can become unwieldy for complex policies","No built-in integration with major LLM platforms (OpenAI, Anthropic, etc.)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.28,"quality":0.2,"ecosystem":0.46,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.692Z","last_scraped_at":"2026-05-04T08:10:15.439Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=castra-strip-orchestration-rights-from-your-llms","compare_url":"https://unfragile.ai/compare?artifact=castra-strip-orchestration-rights-from-your-llms"}},"signature":"W8FgqWxGMs/vFgOZ62PVDWjmysWi8geL4P/4WGIV/Lf1KTQj4G0H7isA8ASGjyLQmO7jrRwwKlUS8gdRH8FjAw==","signedAt":"2026-06-20T02:48:40.636Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/castra-strip-orchestration-rights-from-your-llms","artifact":"https://unfragile.ai/castra-strip-orchestration-rights-from-your-llms","verify":"https://unfragile.ai/api/v1/verify?slug=castra-strip-orchestration-rights-from-your-llms","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}