attach-review-proof

attach-review-proof is a skill for Claude Code, Codex from mezotv/proofdrop. It costs 105 tokens per session (430 once invoked), scanned A, original, MIT.

A tool for uploading a local screenshot, GIF, or short video to temporary public storage and returning a link. The link can be embedded in a GitHub pull request, issue, or review report.

In plain words
What is it for?
Use it to share before-and-after screenshots, recorded flows, GIFs, and other visual evidence with reviewers. Do not use it for secrets, private data, or confidential screenshots.
Why use it?
It removes the manual step of finding a place to host visual proof for a code review. Short-lived links also keep review artifacts separate from permanent project storage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to share before-and-after screenshots, recorded flows, GIFs, and other visual evidence with reviewers. Do not use it for secrets, private data, or confidential screenshots.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mezotv/proofdrop/attach-review-proof
Install

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.

Any agent
npx skills add mezotv/proofdrop --skill attach-review-proof
Clone the repo
git clone --depth 1 https://github.com/mezotv/proofdrop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for attach-review-proof

README.md
[![agentmods](https://agentmods.dev/badge/skills/mezotv/proofdrop/attach-review-proof/github.svg)](https://agentmods.dev/skills/mezotv/proofdrop/attach-review-proof)
Your own site
<a href="https://agentmods.dev/skills/mezotv/proofdrop/attach-review-proof"><img src="https://agentmods.dev/badge/skills/mezotv/proofdrop/attach-review-proof/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.

agentmods 80×15 button for attach-review-proof

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.00430
Opus 5.5 $0.00042 $0.00172
Sonnet 5.5 $0.00021 $0.00086
Haiku 4.5 $0.00011 $0.00043

Measured 1mo ago against content hash 5fa46abdf572, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

skills/attach-review-proof/SKILL.md · 29 lines

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 its key.

Upload

{ "file_path": "screenshots/before.png", "expires_in_seconds": 604800 }
  • file_path (required) — local path.
  • expires_in_seconds (optional) — URL lifetime. Default 86400, max 604800 (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 ![alt](url) (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_KEY gates the endpoint, not the URLs.
  • Upload before writing the PR/issue body so you paste real URLs.
Changes

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.

  1. 1mo ago First seen · 29 lines · 105 tokens per session scan A 5fa46abdf572

Subscribe to this mod's changes

attach-review-proof is a skill published in the GitHub repository mezotv/proofdrop (3 stars, last pushed 3mo ago), licensed MIT. It adds 105 tokens to every session and 430 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.