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 skills/firstintent/a2a-bridge/verifynpx skills add firstintent/a2a-bridge --skill verifygit clone --depth 1 https://github.com/firstintent/a2a-bridgeWhat 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 | $0.00044 | $0.01323 |
| Opus 5 | $0.00022 | $0.00661 |
| Sonnet 5 | $0.00009 | $0.00265 |
| Haiku 4.5 | $0.00004 | $0.00132 |
Grade A, and why
verify 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
verify — delegate a verification check
Ask a peer agent to evaluate an artifact (code, a plan, a doc, a diff) against explicit criteria and return a structured verdict. This is the Anthropic-validated pattern that's consistently worth the extra tokens: a second agent either confirms the work or flags a specific problem — it does not rewrite.
When to use
- You produced something and want an independent pass/fail, not a revision.
- The criteria are enumerable ("does X, handles edge case Y, passes test Z").
- You want the verifier's disagreement surfaced as evidence, not silently merged back into your own output.
When NOT to use
- You want the peer to do the work. That's delegation, not verification — prompt a peer directly without this pattern.
- The criteria are vague ("is this good?"). Verifiers cannot return useful structured verdicts without concrete checks.
- The cost of the second call is not justified. Verification typically 2–3× the tokens of the original turn.
Protocol
On the A2A inbound surface, set Message.metadata.return_format to
"verdict" when sending message/stream:
{
"message": {
"parts": [{ "kind": "text", "text": "<verifier prompt>" }],
"metadata": { "return_format": "verdict" }
}
}
The peer responds with an A2A artifact-update whose part has
kind: "data" and mimeType: "application/vnd.a2a-bridge.verdict+json".
The data object matches the verification artifact shape from
docs/design/architecture.md §"Verification artifact":
{
"verdict": "pass" | "fail" | "needs-info",
"reasoning": "one to three sentences",
"evidence": [
{ "claim": "string", "source": "file:line | url | inline", "note": "optional" }
],
"followups": ["string", ...]
}
Unrecognized verdict values are coerced to "needs-info". An empty
or missing reasoning is rejected — verifiers that cannot articulate
reasoning must return "needs-info" with a short note instead.
Prompt scaffold
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 First seen · 162 lines · 44 tokens per session scan A e1e2a9d92687
verify is a skill published in the GitHub repository firstintent/a2a-bridge (8 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 1,323 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 2026-08-31.
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