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 eriknewton/sanctuary-framework --skill sanctuarygit clone --depth 1 https://github.com/eriknewton/sanctuary-frameworkWrote 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/eriknewton/sanctuary-framework/sanctuary)<a href="https://agentmods.dev/skills/eriknewton/sanctuary-framework/sanctuary"><img src="https://agentmods.dev/badge/skills/eriknewton/sanctuary-framework/sanctuary/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/eriknewton/sanctuary-framework/sanctuary"><img src="https://agentmods.dev/badge/skills/eriknewton/sanctuary-framework/sanctuary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 Memory Poisoning · line 133 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00120 | $0.03210 |
| Opus 5 | $0.00060 | $0.01605 |
| Sonnet 5 | $0.00024 | $0.00642 |
| Haiku 4.5 | $0.00012 | $0.00321 |
Grade A, and why
sanctuary 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 2d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sanctuary Framework
Sanctuary gives your agent protection it can prove: encrypted state, self-custodied identity, selective disclosure, portable reputation, zero-knowledge proofs, federation, posture auditing, and a verifiable security posture.
Quick Start
Get protected in three steps:
- Audit your posture: Run
sanctuary/sovereignty_auditto see your current protection score, gaps, and prioritized recommendations. - Create your identity: Run
sanctuary/identity_createto establish a cryptographic Ed25519 identity. This is your agent's foundation for signing, verification, and non-repudiation. - Generate your SHR: Run
sanctuary/shr_generateto create your first Sovereignty Health Report, a signed, machine-readable proof of your protection capabilities.
OpenClaw Users
If you're running OpenClaw (v2026.3.28+), Sanctuary adds four protections that OpenClaw doesn't provide:
What OpenClaw gives you:
requireApprovalinbefore_tool_callhooks: binary approve/deny gatingtools.sandbox.tools.alsoAllow: sandbox tool allow/deny lists- Local agent execution
What Sanctuary adds on top:
- Encrypted state: Your
MEMORY.md, daily notes, and.envsecrets are plaintext in OpenClaw. Sanctuary encrypts all state at rest with AES-256-GCM (Argon2id key derivation). - Cryptographic identity: OpenClaw has no agent identity. Sanctuary gives your agent an Ed25519 keypair for signing, verification, and handshakes.
- Graduated approval: OpenClaw's
requireApprovalis binary. Sanctuary's three-tier Principal Policy auto-allows routine ops (Tier 3), escalates anomalies (Tier 2), and requires human approval for irreversible ops (Tier 1). - Selective disclosure: Prove facts about your state without revealing it. SHA-256 + Pedersen commitments, Schnorr ZK proofs, range proofs.
- Portable reputation: Signed EAS-compatible attestations that you own and can export through current paths, with full exit still partial until IC-07, IC-08, IC-09 close.
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.
- 2d ago Changed 72d1b3690fc4
- 3d ago Changed e9558b01aa33
- 4d ago Changed · +23 lines 744f7e5756a7
- 8d ago First seen · 211 lines · 120 tokens per session scan A ddc285e75bd5
sanctuary is a skill published in the GitHub repository eriknewton/sanctuary-framework (8 stars, last pushed yesterday), licensed Apache-2.0. It adds 120 tokens to every session and 3,210 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
agent-reach
An internet-search and platform-access router for finding information across websites and services such as Reddit, X, GitHub, YouTube, and job sites.
xiaohongshu-search-full
Search Xiaohongshu (XHS / RedNote) notes by keyword with full field extraction including body text, topics/tags, image list URLs, video stream URL, publish timestamp, and all engagement stats (likes, collects, comments, shares). Supports all page filter options: sort order (general, latest, most liked, most commented…
youtube-channel-business-email
YouTube channel business email and contact extractor: accepts a channel id (UCxxx), handle (@name), or URL; navigates the channel About view; extracts the business email from the description text plus full channel metadata (name, id, country, subscriber count, view count, video count, joined date, external links…
x-dm-auto-chat
X (Twitter) DM automated chat end-to-end Skill: scan DM inbox to identify pending-reply conversations, read message history, generate persona-based replies and send; also supports searching users and starting new conversations. Built-in E2E passcode unlock, DM permission filtering, and rate control. Use when user…
1688-product-detail
Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688…
x-tweet-by-conversation
Collects every tweet in an X (Twitter) conversation thread given a conversation id (root tweet id) — the focal tweet plus all replies, sub-replies, and quote chains — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, inreplyto mapping, and cursor for pagination. Use…