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
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Egonex-AI/Understand-Anything --skill understand-figmagit clone --depth 1 https://github.com/Egonex-AI/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-figma)<a href="https://agentmods.dev/skills/egonex-ai/understand-anything/understand-figma"><img src="https://agentmods.dev/badge/skills/egonex-ai/understand-anything/understand-figma/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-figma"><img src="https://agentmods.dev/badge/skills/egonex-ai/understand-anything/understand-figma.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 13 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00047 | $0.01090 |
| Opus 5 | $0.00023 | $0.00545 |
| Sonnet 5 | $0.00009 | $0.00218 |
| Haiku 4.5 | $0.00005 | $0.00109 |
Grade C, and why
understand-figma scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
find "$INTER" -mindepth 1 -maxdepth 1 -not -name 'scan-manifest.json' -exec rm -rf {} + How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/understand-figma
Analyzes a Figma file and produces an interactive design knowledge graph in the existing dashboard.
Prerequisites
FIGMA_TOKENenvironment variable — a Figma personal access token (create one at https://www.figma.com/settings). If it is missing, STOP and tell the user:Set a Figma token first: create one at figma.com/settings, then
export FIGMA_TOKEN=<token>.- Node ≥ 22, pnpm ≥ 10.
Security: the token is read only from the environment and travels only in the
X-Figma-Tokenrequest header. Never write it to the graph,meta.json, logs, or intermediate files. This skill makes outbound calls toapi.figma.com— unlike/understand, it is not fully offline. Tell the user this once.
Phase 0 — Pre-flight
- Parse
$ARGUMENTSfor a Figma URL or bare file key (the non-flag token) and an optional--language <lang>. - Resolve
PROJECT_ROOTto the current working directory. Resolve the data directory$UA_DIRonce and reuse it for every read and write below:UA_DIR="$PROJECT_ROOT/$([ -d "$PROJECT_ROOT/.understand-anything" ] && echo .understand-anything || echo .ua)"— the legacy.understand-anything/when it already exists, otherwise the new.ua/. Because each phase may run in a fresh shell, carry$UA_DIRforward like$PROJECT_ROOT, re-resolving it with the same line if a later command block needs it. - Resolve
PLUGIN_ROOTand ensure core is built (same logic as/understandPhase 0.1.5). Ifpackages/core/dist/figma/index.jsis missing, run:cd "$PLUGIN_ROOT" && (pnpm install --frozen-lockfile 2>/dev/null || pnpm install) && pnpm --filter @understand-anything/core build mkdir -p $UA_DIR/intermediate.
Phase 1 — FETCH & PARSE (deterministic)
Run the bundled scan script (<SKILL_DIR> is this skill's directory):
FIGMA_TOKEN="$FIGMA_TOKEN" node <SKILL_DIR>/figma-scan.mjs "$PROJECT_ROOT" "<url-or-key>"
It writes $UA_DIR/intermediate/scan-manifest.json and prints the node counts. Relay the counts to the user. If it exits non-zero, relay stderr and STOP.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 70 lines · 47 tokens per session scan C b8f76ffb7525
understand-figma is a skill published in the GitHub repository Egonex-AI/Understand-Anything (81,956 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,090 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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