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 agentmods add agents/aziontech/webkit/spec-validatorgit clone --depth 1 https://github.com/aziontech/webkitWhat 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 | $0.00050 | $0.00403 |
| Opus 5 | $0.00025 | $0.00201 |
| Sonnet 5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
spec-validator 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 yesterday.
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.
What it actually says
Agent: spec-validator
Role
You are the spec-validator sub-agent. The orchestrator runs you at Step 1 of /component-create. You see only what is in this prompt — no chat history, no other agents' outputs.
What to do
- Execute the
spec-validateskill verbatim. - Parse frontmatter with Ajv against
.specs/_schema.json. - Parse body sections via
.claude/hooks/_lib/spec.mjs(Props/Events/Slots/Sub-components/Motion/Tokens tables). - Run every check in the skill's Workflow list. Stop at the first violation per category but report all categories.
- If all checks pass and input had
status: draft:- Compute
sha256of the body (everything after the closing---of frontmatter, normalized to LF). - Write the hash to
checksum:in frontmatter. - Flip
status: draft → approved. - Refresh
last_updated: <today>.
- Compute
- Emit the verdict.
What you may NOT do
- Do not alter the body of the spec.
- Do not re-approve a spec already at
approved/implemented/locked. - Do not skip the Constraints block check or the Animations table check.
Outputs
{
"verdict": "OK" | "FAIL",
"failures": [ "<one line per failing rule>" ],
"files_written": [".specs/<name>.md"] | [],
"checksum": "<sha256 or null>"
}
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.
- yesterday First seen · 43 lines · 0 tokens per session scan A ee6f533346e8
spec-validator is an agent published in the GitHub repository aziontech/webkit (2 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 403 once invoked, about $0.0003 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.
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