EXTENSIONS

SharePoint list items via the Microsoft Graph API — read and write rows on the list surface (/sites/{site}/lists/...), not the document library. Authenticates as an Entra public client through the device code flow, so there is no client secret, and every call runs as the signed-in user. Methods: bootstrap, list_lists, get_list, list_items, create_item, update_item, delete_item.

Read-only integration for troubleshooting Cribl Stream Cloud deployments

Read-only workflow for evidence-backed Redmine Story status analysis.

Fact-check one Markdown document through a provider-neutral, read-only adapter. Kiro CLI is the default provider; Claude CLI is supported when explicitly selected. Repository and optional web capabilities are recorded separately, with no provider fallback.

Unified session capture, normalisation, summarisation, and cross-agent handoff for kiro, opencode, pi, and claude coding-agent sessions. Reads each tool's native session store, normalises to a shared schema, stores as versioned swamp data, and exports/imports portable JSON bundles so any agent can resume where another left off.

Local git operations model — clone, branch, read, commit, push, rebase. Designed for agent-driven development workflows where code changes are authored locally and pushed to a remote forge. Supports a configurable workspace layout (default: $HOME/{host}/{group}/{project}) and commit message format enforcement.

Read-only Azure cost governance — actual spend, tag allocation, forecast, and budget inspection via the Cost Management API, plus FOCUS cost export consumption for Azure blob storage and AWS S3, with findings reports.

Semantic discovery index for published swamp extensions. Crawls the extension registry, embeds metadata using an OpenAI-compatible API, and provides hybrid keyword + vector search (FTS5 + cosine, RRF-fused) to find extensions by intent rather than exact name.

Scrapes Prometheus metrics from Coder's metrics endpoint. Extracts key operational indicators (API latency, workspace counts, agent connections) and writes typed snapshots for trend analysis.

Queries Coder workspace API and captures state snapshots. Records workspace status, agent state, and build info for stability and drift analysis.

Pages through the Coder audit log API and writes events as versioned data. Supports incremental collection with configurable limits and query filters.

Records webhook payloads received from Coder notifications. Stores each event with receipt metadata for delivery latency and reliability analysis.

Polls Coder server health and build info endpoints. Produces typed health state with latency measurements for reliability analysis.

A daily operator briefing workflow with companion report. Gathers data from GitLab (review queue, todos), Microsoft Teams (mentions, unread chats, channel messages), and Redmine (recent updates, new tickets), then renders a prioritized markdown briefing plus a stable JSON contract.

Automated web reading pipeline — harvests articles from configurable sources (Hacker News, Lobsters, RSS/Atom feeds), evaluates them with an AI agent, learns user interest over time via feedback, and produces a curated HTML report with ranked recommendations. Designed for agent-driven reading workflows where an AI reads on the user's behalf and surfaces what matters.

Fleet-wide Kubernetes health across all kubeconfig contexts. Iterates every cluster in ~/.kube/config (or a specified subset) and produces per-cluster health snapshots plus an aggregated fleet summary. Best-effort — unreachable clusters are reported, not fatal.

One-shot bootstrap for @twonines/fact-store backed by AWS Aurora Postgres Serverless v2. Provisions the RDS cluster + writer instance, the enclosing VPC networking primitives (DB subnet group, security group), an IAM managed policy scoped to rds-db:connect on the cluster, and an IAM workload role that trusts a caller-provided principal (e.g., an AWS SSO permission set ARN). A companion workflow runs the provisioner and then configures @webframp/postgres-datastore against the newly created cluster using a fresh RDS IAM auth token.

Stores, validates, and serves organizational facts for AI agent consumption. Supports a propose→review→activate lifecycle with adversarial validation (ferret/mole pattern). Facts are relational truths about infrastructure, repositories, services, teams, and their connections. Ships with three agent skills — propose-facts and review-proposals drive the discovery and review loops (ferret/mole); consult-facts closes the loop as the consumer role, querying facts before engineering work and detecting drift.

Clones a GitLab repository, chunks all text files, embeds them via an OpenAI-compatible API, and writes a SQLite database supporting hybrid search (FTS5 keyword + vector cosine with RRF reranking). Methods: index, index_batch, search, reindex, status, discover, list-indexed, list-searches.