AI & ML

ariffazil Bundle

Real-time drift detection across tool manifests, agent cards, skill registries, and runtime-injected files. Compares live state against saved baselines and reports mismatches. USE WHEN: "check drift", "verify registry", "detect manifest drift", "tool surface audit", "runtime injection detection".

ariffazil Bundle

Validate that MCP servers respond correctly to health probes and basic tool calls. Detect down servers, mismatched schemas, and transport

oimiragieo Bundle

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

gptomics Bundle

Quantifies protein abundance from mass spectrometry using label-free (LFQ/MaxLFQ, DIA fragment-level), isobaric (TMT/iTRAQ reporter ions, MS2 vs SPS-MS3), and metabolic (SILAC) approaches, including peptide-to-protein summarization (Tukey median polish, MaxLFQ, msqrob), sample-loading and IRS cross-plex normalization, and isotopic impurity correction. Use when turning peptide/PSM/reporter signal into a protein-by-sample abundance matrix for downstream analysis. Statistical testing of that matrix is differential-abundance; DIA quant mechanics and DIA-NN runs are dia-analysis; reading search-engine outputs is data-import; razor/shared-peptide group assignment is protein-inference.

gptomics Bundle

Infer large-scale copy-number alterations from tumor single-cell or single-nucleus RNA-seq to separate malignant from normal cells and call subclones, using inferCNV, copyKAT, Numbat, and SCEVAN. Use when separating malignant from normal cells in a tumor scRNA-seq dataset, inferring chromosome-arm CNVs or aneuploidy from expression, calling tumor subclones from single cells, choosing a CNV-inference method (reference-based vs reference-free, expression-only vs allele-aware), or deciding which cells are tumor before downstream analysis.

ariffazil Bundle

v2.0: Multi-surface skill audit (10 agent homes) with cross-surface contrast, drift/orphan/dual-name detection. Load when reviewing the skill portfolio, after modifying skills, or after adding/removing agent harnesses.

ariffazil Skill

RSI APEX contrast for Kimi Code — before emitting the entropy-delta report, ask "Is this measurement reproducible? Could a different agent run the same tools and get the same numbers?"

ariffazil Skill

Context-window-aware data compression for long logs, code dumps, and multi-source evidence bundles. Compresses input to fit within model context limits while preserving semantic fidelity (F2 TRUTH ≥ 0.95). Supports streaming chunk-and-summarize pipelines. USE WHEN: "compress this log", "summarize before context window", "fit this in context".

ariffazil Bundle

Check whether every agent in the federation (AAA catalog, Hermes, Kimi Code) has the same core skills at the same version. Answers the question: "are my agents in sync right now?" Produces a per-skill mesh health report (SYNC / DIVERGED / MISSING_FROM_X) and drives the divergence escalation protocol.

ariffazil Skill

REDIRECTED to Qdrant by F13 (2026-08-25): Postgres pgvector NOT functional on af-forge (postgres:16-alpine lacks binaries; phantom catalog entry dropped). Vector search = Qdrant arifOS_skill_mesh localhost:6333. Do not target :5432 for vectors; do not swap the Postgres image without new F13 authority.

oimiragieo Bundle

Programmatic web automation using Playwright Python — data extraction, form filling, multi-step workflows, auth session management, screenshot/PDF capture, and anti-detection patterns. Use for scripted automation tasks, not interactive MCP-based browser control.

oimiragieo Bundle

Structural code graph queries via CodeGraphContext MCP (tree-sitter + KuzuDB). Find callers, callees, class hierarchies, dead code, and module dependencies.

oimiragieo Bundle

Compress large context before reasoning to reduce token usage while preserving evidence. Use this whenever the user mentions huge files, long prompts, RAG payloads, prompt caching, expensive sessions, codebase context, chat history compaction, or wants the same answer quality with fewer tokens.

ariffazil Skill

Substrate primitive /init — establishes actor, session, lane, atlas expression, authority tier. EVERY autonomous agent MUST call this before any mutation. SESSION BOUND is the answer to 'who is acting?' Parameterized across Hermes, OpenClaw, and OpenCode runtimes.

ariffazil Bundle

Gate and route tool use across federation MCP servers according to authority, risk, and fallback policy

ariffazil Skill

Capability self-audit: reflect, contrast, and near-ASI gap.

ariffazil Skill

Substrate Forge

ariffazil Bundle

Build, inspect, call, and operate FastMCP servers and the mcporter CLI across federation organs.

ariffazil Bundle

Standard protocol for responding to federation incidents: service outages, security breaches, constitutional violations, or agent misbehavior.

gptomics Bundle

Searches for non-coding RNA homologs and classifies RNA families with Infernal covariance models against Rfam, scoring sequence AND secondary-structure conservation jointly. Use when deciding whether a covariance model is the right tool versus BLAST/nhmmer (structured ncRNA versus lncRNA or mature miRNA); choosing the Rfam gathering threshold over a flat E-value; resolving clan overlaps; building and calibrating a custom CM from a structure-annotated alignment; or preferring a family-specialized tool (tRNAscan-SE, barrnap) over a generic Rfam scan.

sboghossian-mini-claude-for-legal Skill

Use as a reference guide for hardening the Model Context Protocol (MCP) layer of a legal AI deployment — covering OAuth scope minimization, write-action approval gates, per-tool capability scopes, audit logging, rate limiting, and tenant isolation. Applies to any deployment of Louis or similar legal AI where MCP tools connect the AI to external systems (document management, calendaring, CRM, court filing systems). Critical for firms handling privileged and confidential information.

sboghossian-mini-claude-for-legal Skill

Use when a user asks about modern large language models specifically — how GPT, Claude, Gemini, Llama, or Mistral work; what context windows are; how tool use and function calling work; the difference between RAG and fine-tuning; or how to choose a model provider. This knowledge pack is calibrated for legal professionals evaluating or using LLM-powered tools.

sboghossian-mini-claude-for-legal Skill

Use when advising on French corporate law, including SAS and SARL entity structures, SAS flexibility and governance design, SA governance (PDG/directoire model), directors' duties, shareholder agreements, M&A under French law, and French corporate governance (Code AFEP-MEDEF). Particularly relevant for MENA practitioners given French civil-law influence on Lebanese, Egyptian, and North African corporate law, and for MENA clients with French holding structures.

oimiragieo Bundle

Structured debug log analysis for Claude Code sessions — auto-discovers most recent log, runs reducer, extracts error patterns, correlates with full log, produces observability report. Fills 5 identified gaps: hook error body capture, agent identity, file path tracking, stall correlation, success visibility.

oimiragieo Bundle

Independent LLM judge evaluates task completion separately from the executing agent, catching false success claims by reviewing task goal, actions taken, final state, and evidence. Produces PASS/FAIL with confidence score and reasoning.

oimiragieo Bundle

Feed actual task results back into agent memory for calibration. Compares predicted vs actual outcomes, records accuracy scores, and tracks estimation quality, prediction quality, and decision quality over time to improve future agent performance.

ariffazil Skill

Migrate agent-cards to schema v2.3.0 with INV-11/12/13 invariants applied. Single canonical migration path — no card ever mutated by more than one tool. USE WHEN: 'card migration', 'agent-card upgrade', 'authority_ceiling populate', 'INV-12 enforcement', 'registry_receipt_hash fix'. Reversible (.bak-20260908-pre-migration companions) under F1 AMANAH.

ariffazil Bundle

Karpathy's LLM Wiki: build/query interlinked markdown KB.

ariffazil Skill

Spawn Claude Code as a governed execution harness. Use when a coding task needs autonomous execution — feature implementation, refactoring, bug fixing, PR review, or any multi-step coding work. Routes through arifOS F1-F13 constitutional governance with structured JSON return. Parameterized across Hermes and OpenClaw runtimes.

ariffazil Skill

Route tasks across two or more federation MCP servers, sequence tool calls, and define fallbacks when an organ substrate fails. Load only when work spans multiple organs (GEOX, WEALTH, WELL, A-FORGE, AAA, external APIs).

ariffazil Skill

Audit all installed skills for overlap, stale docs, prompt bloat, trigger ambiguity, and broken references. Load when reviewing the skill portfolio or after modifying or adding new skills.

ariffazil Bundle

Design, validate, and manage skills across a multi-agent federation. 3-layer architecture (substrate/knowledge/domain), 3-axis manifests (invariant/bridge/contrast), veto-generator separation, bootstrap signing, CI validation gates, and naming conventions.

ariffazil Skill

Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.

ariffazil Skill

Web scraping layer for AI agents via Decodo MCP server (mcp.decodo.com). Scrape JavaScript-heavy web pages to Markdown/JSON/screenshots, search engines (Google, Bing), eCommerce (Amazon, Walmart, Target, TikTok Shop), social media (Reddit, TikTok, YouTube), and AI search (ChatGPT, Perplexity).

gptomics Bundle

Fits structural equation models to GWAS summary statistics using GenomicSEM (Grotzinger 2019), including common-factor models, confirmatory factor models, ESEM, common-factor GWAS with Q_SNP heterogeneity, multivariate Wald tests, and stratified GenomicSEM partitioned heritability. Reconciles results against MTAG multi-trait analysis. Handles sample overlap via the LDSC sampling-covariance matrix, identifies and resolves Heywood cases, and verifies model fit with CFI / RMSEA. Use when modeling latent genetic architecture across correlated traits, running multivariate GWAS on a shared factor, distinguishing factor-mediated from trait-specific SNP effects, or comparing GenomicSEM common-factor results against MTAG when both depend on accurate sampling covariance.

sboghossian-mini-claude-for-legal Skill

Use when drafting a non-compete clause or standalone non-compete agreement for an employment, partnership, or M&A context. Covers enforceability rules by jurisdiction (LB, KSA, UAE federal, DIFC, FR, US California), required elements (duration, geography, activity scope, consideration), a model clause, carve-outs, and the critical pairing with non-solicit provisions. Triggers on "non compete", "non-competition", "restraint of trade", "post-employment restriction", or "competition clause" requests.