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-wg/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-wg)<a href="https://agentmods.dev/skills/gridaco/grida/docs-wg"><img src="https://agentmods.dev/badge/skills/gridaco/grida/docs-wg/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-wg"><img src="https://agentmods.dev/badge/skills/gridaco/grida/docs-wg.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 Agent Snooping · line 74 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 113 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 218 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00150 | $0.03023 |
| Opus 5.5 | $0.00060 | $0.01209 |
| Sonnet 5.5 | $0.00030 | $0.00605 |
| Haiku 4.5 | $0.00015 | $0.00302 |
Grade A, and why
docs-wg 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 2mo 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WG docs
Working-group docs are where Grida reasons about a problem before and above any one implementation. A good WG doc could be handed to someone rebuilding the feature in a different language, on a different stack, in a different decade, and still be the right starting point. That is the bar.
The reason WG docs are code-agnostic is not stylistic. Code moves; a file path or a function name is stale within months, and a doc anchored to it rots into a lie. A doc anchored to the domain — the problem, the spec, the why — stays true as long as the problem does. You are writing the thing that outlives the code.
This skill is the doctrine. Operational mechanics (frontmatter,
format: md, draft/unlisted/doc_tasks, the sync model) live in
docs/AGENTS.md — read it once. For reading
the WG tree before you edit, use grounding.
The two genres
A WG doc is almost always one of these. Name which before you draft — they have different shapes.
1. RFC / RFD — spec
A specification of what a feature or system is and why it is that way. Spec-rich. It defines vocabulary, states constraints and invariants, and argues the design tradeoffs. It reads like a standards document, not like a code comment.
- A model, not an explanation. The strongest specs are models — a canonical vocabulary, a small generating rule or set of invariants, contract tables, and conformance clauses — the kind of thing a second implementer runs in their head. A doc that explains the code has the arrow backwards: the code conforms to the spec, never the reverse. Prose justifies the model; it does not substitute for it.
- Covers why and what. The motivation, the requirements, the model, the chosen design and the alternatives rejected (and why).
- No code-level implementation detail. Describe the behavior and the contract, not the functions that will realize them. If you find yourself naming a struct or a file, you have dropped from spec altitude into implementation — climb back up.
- Language- and stack-agnostic. Express the model in terms a second implementer could honor, not in terms of the current one.
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.
- 2mo ago First seen · 223 lines · 150 tokens per session scan A 89fd9ba23c8a
docs-wg is a skill published in the GitHub repository gridaco/grida (2,693 stars, last pushed 11d ago), licensed Apache-2.0. It adds 150 tokens to every session and 3,023 once invoked, about $0.0006 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.
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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.