Grida is an open-source graphics workspace that combines an infinite canvas editor, SVG tools, a database and CMS, and forms. Designers and developers use it to create, import, render, and manage visual documents and connected data, while the catalogue add-ons support its workflows.
Borrowing it
Nothing to install: this file belongs to gridaco/grida. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gridaco/grida/main/.agents/skills/docs/SKILL.mdgit clone --depth 1 https://github.com/gridaco/gridaWrote 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/gridaco/grida/docs)<a href="https://agentmods.dev/skills/gridaco/grida/docs"><img src="https://agentmods.dev/badge/skills/gridaco/grida/docs/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/gridaco/grida/docs"><img src="https://agentmods.dev/badge/skills/gridaco/grida/docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
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 →
- medium Prompt Injection · line 31 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 33 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 35 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00087 | $0.01786 |
| Opus 5.5 | $0.00035 | $0.00714 |
| Sonnet 5.5 | $0.00017 | $0.00357 |
| Haiku 4.5 | $0.00009 | $0.00179 |
Grade A, and why
docs 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 18d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docs
Documentation in Grida is not one thing. Before drafting, name the family — because the family decides the audience, the home directory, the tone, and which skill governs the rest. Writing the right content in the wrong family (a spec dump in a user guide, a marketing tone in an RFC) is the most common and most expensive docs mistake, because it is invisible until someone reads it for the wrong reason.
/docs/** is the source of truth, synced to /apps/docs/docs/** at
build and published at grida.co/docs. Edit the root /docs, never the
synced copy. The operational rules that apply to every family —
taxonomy (draft / unlisted / doc_tasks), frontmatter, MDX safety
(format: md), _history/, the structure table — live in
docs/AGENTS.md. Read it once; this skill does
not repeat it.
The three families
| Family | Audience | Home | Character | Governing skill |
|---|---|---|---|---|
| SDK / developer | engineers (and, implicitly, agents) consuming a package or API | packages/<pkg>/docs/ for spec-only; docs/reference/** for stable references |
technical, example-dense, low-visual, precise | this skill (below) |
| User / product | humans using a Grida product | docs/editor/**, docs/forms/**, docs/platform/**, docs/with-figma/**, … |
content-rich, screenshots, SEO-friendly, task-oriented | canvas editor (docs/editor/) → docs-canvas; cross-cutting → seo + docs-svg-kit; other surfaces have no dedicated skill yet — use docs/AGENTS.md + seo |
| WG / research / RFC-RFD | contributors and maintainers reasoning about why and what | docs/wg/** |
spec-rich, language-agnostic, code-agnostic, factual | docs-wg |
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.
- 18d ago Changed · +7 lines 698b67607281
- 2mo ago First seen · 116 lines · 87 tokens per session scan A 488e33a5f3d4
docs is a skill published in the GitHub repository gridaco/grida (2,693 stars, last pushed 11d ago), licensed Apache-2.0. It adds 87 tokens to every session and 1,786 once invoked, about $0.0003 per session on Opus 5.5. 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
explorer
Build and modify Studio Explorer surfaces, including notebooks, chats, SQL snippets, query cells, and their shared toolbar patterns.
database
Relational database authority — PostgreSQL, async ORM (SQLAlchemy 2 / asyncpg), Alembic schema migrations, Supabase Python and JS clients, query optimisation, index strategy, connection pooling, transaction patterns, and bulk operations across Python and Node stacks.
whodb
Work with WhoDB platform hosts and project resources via MCP, including multiple environments, or query databases directly in database-only MCP mode.
schema-designer
Help design database schemas, create tables, and plan data models. Activates when users ask to create tables, design schemas, or model data relationships.
graphjin-eval
Create, extend, run, baseline, and diagnose GraphJin agent evaluations through the graphjin eval CLI.
graphjin-env
Use when setting up a training or evaluation loop against a GraphJin agent environment — running the container, reading /health, driving episodes hosted or step-by-step or with your own agent over MCP, splitting train from eval, exporting trajectories, and deciding whether two rewards can be compared.