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 Tyox-all/Weave_Protocol --skill wardgit clone --depth 1 https://github.com/Tyox-all/Weave_ProtocolWrote 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/tyox-all/weave_protocol/ward)<a href="https://agentmods.dev/skills/tyox-all/weave_protocol/ward"><img src="https://agentmods.dev/badge/skills/tyox-all/weave_protocol/ward/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/tyox-all/weave_protocol/ward"><img src="https://agentmods.dev/badge/skills/tyox-all/weave_protocol/ward.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00102 | $0.01037 |
| Opus 5.5 | $0.00041 | $0.00415 |
| Sonnet 5.5 | $0.00020 | $0.00207 |
| Haiku 4.5 | $0.00010 | $0.00104 |
Grade A, and why
ward 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 1mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WARD.md — Agent Security Policy Standard
The @weave_protocol/ward package provides the parser, validator, and runtime check primitives for WARD.md files — the standard for declaring AI agent security policies as version-controlled markdown.
When to use
- User has an agent (LangChain, MCP server, Antigravity, Claude Code, MDASH) and wants to lock down what it can/can't do
- User has AGENTS.md or SKILL.md files in their repo and needs to add security guardrails
- User asks "how do I prevent this agent from accessing X" or "how do I limit cost"
- User wants a portable, declarative security policy that survives across harness platforms
- User is reviewing an agent project and notices there's no declared policy
Commands
npx @weave_protocol/ward init # Create a starter WARD.md (basic template)
npx @weave_protocol/ward init --strict # Create a strict, default-deny WARD.md
npx @weave_protocol/ward validate WARD.md # Validate a file
npx @weave_protocol/ward explain WARD.md # Human-readable policy summary
npx @weave_protocol/ward parse WARD.md # Print parsed policy as JSON
Programmatic use
import { parseWard, checkFilesystem, checkNetwork, checkCapability } from "@weave_protocol/ward";
const policy = parseWard(wardSource);
const decision = checkFilesystem(policy, "read", path);
// decision.decision: "allow" | "deny" | "require_approval"
What a WARD.md contains
Section headings (H2) define the policy:
## Filesystem— read/write/execute/delete/list rules with glob patterns## Network— outbound URL allowlist## Capabilities— tools the agent may invoke (with approval gating)## Data Boundaries— egress classifications (PII, PHI, credentials)## Behavioral Limits— iterations, runtime, cost, tokens## Multi-Agent— trust chain, isolation, semantic drift threshold## Compliance— SOC2 / HIPAA / GDPR / etc.## Verification— attestation backend, blockchain, frequency## Threat Model— in-scope / out-of-scope threats## Incident Response— what to do on violation
What ships with it
16 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.
- .gitignore 36 B
- examples/basic.WARD.md 1.0 KB
- examples/compliance.WARD.md 1.7 KB
- examples/strict.WARD.md 2.0 KB
- package-lock.json 41 KB
- package.json 1.4 KB
- README.md 6.2 KB
- SPEC.md 6.7 KB
- src/cli.ts 15 KB runs code
- src/enforcer/index.ts 9.8 KB runs code
- src/index.ts 1.2 KB runs code
- src/parser/index.ts 12 KB runs code
- src/parser/markdown.ts 2.0 KB runs code
- src/parser/yaml.ts 3.8 KB runs code
- src/types.ts 11 KB runs code
- tsconfig.json 487 B
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.
- 1mo ago First seen · 85 lines · 102 tokens per session scan A cf08c4c8a0d1
ward is a skill published in the GitHub repository Tyox-all/Weave_Protocol (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 102 tokens to every session and 1,037 once invoked, about $0.0004 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 2026-08-31.
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