# VDERR/dsh-echocat-skill-panel > A cordis plugin for DSH Desktop Beta that reports which skills were invoked in each conversation turn and lets you install or remove skills directly inside the app. - Magnitude: 0.0 out of 10 — Cooling - Stars: 201 total · +0 stars today, ≈ 0 by evening - Star trust: star growth looks organic - Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-09-18 · Last push: 2026-09-24 - GitHub: https://github.com/VDERR/dsh-echocat-skill-panel · Page: https://gitnova.dev/en/r/VDERR/dsh-echocat-skill-panel ## Useful for - Install a skill from a GitHub repo or folder link without filling in fields manually - Insert a skill invocation into the draft via the quote button in the turn report - Set a Chinese display name for a skill via meta.yaml and edit it on the card ## Why it’s here - The repository is 7 days old and already has 201 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 6 - Issues and pull requests: 1 - Watchers: 6 - Average over the last week: 11 per day - Usual pace: too little history (under two weeks) - Latest release: v5.1.3 (2026-09-24) ## Stars per day, last 13 days (oldest → newest, today is partial) 2026-09-13 … 2026-09-25: 0, 0, 0, 0, 18, 104, 79, 0, 0, 0, 0, 0, 0 ## Magnitude by day, last 8 days 09-18 4.6, 09-19 5.0, 09-20 4.8, 09-21 0.4, 09-22 0.0, 09-23 0.0, 09-24 0.0, 09-25 0.0 ## More in this category 1. **paperclipai/paperclip** — 8.3 · Breakout · AI agents · TypeScript · +419 stars today, ≈ 1,009 by evening Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 2. **google/ax** — 8.0 · Breakout · AI agents · Go · +297 stars today, ≈ 760 by evening A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network… Full card: https://gitnova.dev/en/r/google/ax.md 3. **vectorize-io/hindsight** — 7.8 · Breakout · AI agents · Python · +343 stars today, ≈ 860 by evening Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or… Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md 4. **NandhaKishorM/laya** — 7.7 · Cooling · AI agents · Python · +451 stars today, ≈ 1,178 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md 5. **Contrastive-LM/CLM** — 7.6 · Early signal · AI agents · Python · +106 stars today, ≈ 335 by evening CLM is a class of System One language models trained contrastively to connect states and actions; the repo serves CLM-8B behind a TypeSafe-compatible API for fast agent decision-making. Full card: https://gitnova.dev/en/r/Contrastive-LM/CLM.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-25 12:24 UTC, updated every 30 minutes.