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/mezotv/proofdrop/attach-review-proofnpx skills add mezotv/proofdrop --skill attach-review-proofgit clone --depth 1 https://github.com/mezotv/proofdropWrote 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/mezotv/proofdrop/attach-review-proof)<a href="https://agentmods.dev/skills/mezotv/proofdrop/attach-review-proof"><img src="https://agentmods.dev/badge/skills/mezotv/proofdrop/attach-review-proof.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.00430 |
| Opus 5 | $0.00053 | $0.00215 |
| Sonnet 5 | $0.00021 | $0.00086 |
| Haiku 4.5 | $0.00011 | $0.00043 |
Grade A, and why
attach-review-proof 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 5d 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.
What it actually says
Attach Review Proof
Uploads a local file to the proofdrop-mcp server and returns a temporary presigned URL you can drop into GitHub markdown. Two tools (prefixed by your client, e.g. mcp__proofdrop-mcp__upload_asset):
upload_asset— upload a local file, get back a URL.delete_asset— remove an object by itskey.
Upload
{ "file_path": "screenshots/before.png", "expires_in_seconds": 604800 }
file_path(required) — local path.expires_in_seconds(optional) — URL lifetime. Default86400, max604800(7 days). Use the max for PR-lifetime links.content_type(optional) — inferred from extension; pass"video/mp4"for.mp4(not auto-detected).
Returns { key, url, expiresAt, ... }. Embed url as  (or a [link](url) for video); keep key to delete_asset later. Max ~25 MB.
Watch out
- Public, short-lived only. Anyone with the URL can fetch it. Use ONLY for review artifacts — never secrets, customer data, or private screenshots.
PROOFDROP_API_KEYgates the endpoint, not the URLs. - Upload before writing the PR/issue body so you paste real URLs.
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.
- 5d ago First seen · 29 lines · 105 tokens per session scan A 5fa46abdf572
attach-review-proof is a skill published in the GitHub repository mezotv/proofdrop (3 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 430 once invoked, about $0.0005 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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