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 googlicius/obsidian-steward --skill guardrailsgit clone --depth 1 https://github.com/googlicius/obsidian-stewardWrote 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/googlicius/obsidian-steward/guardrails)<a href="https://agentmods.dev/skills/googlicius/obsidian-steward/guardrails"><img src="https://agentmods.dev/badge/skills/googlicius/obsidian-steward/guardrails/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/googlicius/obsidian-steward/guardrails"><img src="https://agentmods.dev/badge/skills/googlicius/obsidian-steward/guardrails.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 34 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 36 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 40 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 | $0.00044 | $0.00850 |
| Opus 5 | $0.00022 | $0.00425 |
| Sonnet 5 | $0.00009 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
guardrails 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guardrails Skill
This skill enables you to define safety rules that restrict which folders and files the AI can access. Rules are stored as separate markdown files in Steward/Rules/ — one file per rule.
Rule File Structure
Each rule lives in its own .md file under Steward/Rules/ (flat structure). Each file has:
- YAML frontmatter — the rule definition (name, targets, actions, optional instruction, optional enabled)
- Documentation — markdown body explaining the rule
- Verification query — a ready-to-run command that triggers the rule so users can confirm it works (see below)
Create new rule files (Use create tool) when adding rules. Edit existing rule files (Use edit tool) when updating.
Documentation
Keep the rule body brief plus the verification query.
Verification Query
Include a verification query in each rule's documentation. This is a Steward command that would trigger the rule (and get blocked), so users can quickly confirm the rule works. Format:
- Format: Commands start with
/(slash + space); put the command on its own line - Content: A natural-language request that would perform one of the restricted actions on a target (e.g., list, read, create, edit) Add it in the rule body, e.g. under a Verify or Test section.
Frontmatter Format
| Field | Required | Description |
|---|---|---|
name |
Yes | A short identifier for the rule (e.g., "No secrets access") |
targets |
Yes | Array of path patterns (folders or files). Use folder/ for folders, *.ext for file types |
actions |
Yes | Array of actions to restrict: read, list, create, edit, delete, move, rename, copy |
instruction |
No | Optional override only when the user explicitly requires strict guidance. Default is no instruction; violations are serialized for the AI to adapt |
enabled |
No | Set to false to disable a rule. Default is true |
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 · 88 lines · 44 tokens per session scan A 078b2b9ef27b
guardrails is a skill published in the GitHub repository googlicius/obsidian-steward (85 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 850 once invoked, about $0.0002 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.
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