Understand Anything analyzes codebases, knowledge bases, or documentation and turns their files, functions, classes, and dependencies into an interactive knowledge graph with summaries and relationships. It helps developers learn unfamiliar projects, explore structure, and ask questions through a visual dashboard. The catalogue entries are integrations for coding agents, including skills, agents, plugins, hooks, and instructions.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Egonex-AI/Understand-Anything/plugin install understand-anythingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/egonex-ai/understand-anything/understand-dashboard)<a href="https://agentmods.dev/skills/egonex-ai/understand-anything/understand-dashboard"><img src="https://agentmods.dev/badge/skills/egonex-ai/understand-anything/understand-dashboard/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/egonex-ai/understand-anything/understand-dashboard"><img src="https://agentmods.dev/badge/skills/egonex-ai/understand-anything/understand-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.01952 |
| Opus 5 | $0.00009 | $0.00976 |
| Sonnet 5 | $0.00003 | $0.00390 |
| Haiku 4.5 | $0.00002 | $0.00195 |
Grade A, and why
understand-dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/understand-dashboard
Start the Understand Anything dashboard to visualize the knowledge graph for the current project.
Instructions
-
Determine the project directory and data directory:
- If
$ARGUMENTScontains a path, use that as the project directory - Otherwise, use the current working directory
- Prefer the legacy
.understand-anything/data directory when it exists, otherwise use.ua/
Use the Bash tool to resolve:
PROJECT_ARG="$ARGUMENTS" if [ -n "$PROJECT_ARG" ]; then PROJECT_DIR=$(cd "$PROJECT_ARG" 2>/dev/null && pwd -P) else PROJECT_DIR=$(pwd -P) fi if [ -z "$PROJECT_DIR" ] || [ ! -d "$PROJECT_DIR" ]; then echo "Error: Project directory not found: ${PROJECT_ARG:-$PWD}" exit 1 fi if [ -d "$PROJECT_DIR/.understand-anything" ]; then UA_DIR="$PROJECT_DIR/.understand-anything" else UA_DIR="$PROJECT_DIR/.ua" fi - If
-
Check that
$UA_DIR/knowledge-graph.jsonexists in the project directory. If not, tell the user:No knowledge graph found. Run /understand first to analyze this project.Use the Bash tool to check:
if [ ! -f "$UA_DIR/knowledge-graph.json" ]; then echo "No knowledge graph found. Run /understand first to analyze this project." exit 1 fi -
Find the dashboard code. The dashboard is at
packages/dashboard/relative to this plugin's root directory. Check these paths in order and use the first that exists:${CLAUDE_PLUGIN_ROOT}/packages/dashboard/(Claude Code runtime root, highest priority)~/.understand-anything-plugin/packages/dashboard/(universal symlink, all installs)- Two levels up from
~/.agents/skills/understand-dashboardreal path (self-relative fallback) - Two levels up from
~/.copilot/skills/understand-dashboardreal path (Copilot personal skills fallback) - Common clone-based install roots:
~/.codex/understand-anything/understand-anything-plugin/packages/dashboard/~/.opencode/understand-anything/understand-anything-plugin/packages/dashboard/~/.pi/understand-anything/understand-anything-plugin/packages/dashboard/~/understand-anything/understand-anything-plugin/packages/dashboard/
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 156 lines · 17 tokens per session scan A d12cb059d8e6
understand-dashboard is a skill published in the GitHub repository Egonex-AI/Understand-Anything (81,956 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 1,952 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
skill-sanitizer
Pre-share leak scanner for Claude Code skills (or any folder). Scans BEFORE you publish for secrets (API keys, tokens, private keys, .env values, high-entropy strings), PII (emails/phones), local machine paths (C:\Users\ , /home/ , /Users/ , UNC, internal hostnames), and client/proper-noun names from a LOCAL private…
public-skill-launcher
Package an AI skill, prompt workflow, or internal operating habit into a public-ready release with a catchy hook, safe redaction, useful examples, demo tasks, README copy, and launch messaging. Use when preparing a skill for GitHub, social sharing, marketplace submission, documentation, or community feedback.
knowledge-gravity-lab
Analyze folders of Markdown/text research notes, Obsidian vaults, paper cards, invention notes, or memory exports as a practical knowledge map. Use when asked to find center topics, noisy or low-signal notes, possible contamination, overgrown topic groups, orphan notes, cleanup actions, or a useful public…
super-lab-lite
Lightweight multi-agent research orchestration using one coordinator, three domain leads, and three lightweight research agents. Use for medium-size research, market scans, competitor comparisons, prior-art style exploration, report planning, and any task that benefits from parallel domain decomposition without…
dirty-skill
A deliberately leaky demo skill used to show what skill-sanitizer catches before you publish. Do not ship this.
baoyu-comic
A tool for creating original educational comics that explain knowledge or ideas through multiple illustrated panels. It supports different art styles and tones and can create several comics in one batch.