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Case file — roast review

deepskill.marketRoast Review

ShitScore 60 / 100MarketplaceCaptured 2026-09-25Submitted by communityVisit crime scene ↗

DeepSkill promises real tests and real reviews, then asks you to copy a prompt so your agent can go find the evidence.

DeepSkill is a searchable marketplace for AI-agent skills, with a 240K+ Skills claim, safety-and-results language, GitHub trending numbers, and a button to copy a discovery prompt into your agent. The screenshot shows three immaculately arranged reasons to trust the recommendations but no visible test report or actual review beside the claim of Real Tests, Real Reviews. It may well help people find usable skills; its landing page makes trust look like something you can establish with a green checkmark and a comparison card.

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Exhibit A — Evidence

Captured 2026-09-25

DeepSkill homepage hero on white: Real Tests, Real Reviews, find skills that Real Work, a task search bar, sample prompts, a Copy Prompt button, and agent logos.
Screenshot — deepskill.market (2127×1080)
real tests real reviewsdual checked without methodvisibly real empty capturerole and scenario grid

Score breakdown

Prompt residue6/10
Feature grid density8/10
Meaningless value prop6/10
Trust signal suspicion7/10
Founder face AI probability0/10
Product proof absence7/10
ShipFast resemblance6/10
Hero claim
"Real Tests, Real Reviews, find skills that Real Work." The hero promises validation, then primarily demonstrates task search and a Copy Prompt action.
Proof problem
The screenshot displays "240K+ Skills," "Dual-checked: safety + results," green comparison panels, and GitHub star counts, but no visible underlying test reports, review methodology, or named reviewer. The empty-looking showcase may be a screenshot timing issue, not proof that the feature lacks content.
Visual pattern
White page with forest-green and acid-lime accents; highlighted Real words in hero; centered search bar and prompt chips; Copy Prompt card with agent logos; three grey comparison cards with green winning states; pale nearly empty showcase in the capture; green trophy leaderboard; nine role tiles; nine scenario tiles; understated disclaimer footer.
Why it still might convert
A task-first search across many skills is useful when someone knows the job but not the tool name. The agent prompt offers a low-friction next step, and the repository momentum signals help experienced users narrow a crowded field. The source disclaimer acknowledges risks that a genuine skill marketplace has to manage.

Editorial roast

By Editorial Desk · Filed against deepskill.market↗

¶ 01

The headline says "Real Tests, Real Reviews, find skills that Real Work." Two of those things are promises; the third is a small grammatical incident in a highlighter-green waistcoat. Underneath, the site asks visitors who do not know a skill name to "Just describe the task," then offers Brand visual system, Product detail page, Product promo video, and Bilingual training as starter prompts. That is a plausible way to search a large catalogue. It is not, by itself, a real test or a real review, no matter how many times the word Real is underlined.

¶ 02

The "Why choose DeepSkill" section presents the sacred three-card grid: Broader Search, Better Matches, Trusted Skills. The first card says "240K+ Skills"; the third says "Dual-checked: safety + results." Each stages a grey "Typical library" or "Claims only" against a reassuring green answer supplied by DeepSkill. The screenshot does not show a test report, a reviewer, or how a result passes either check. The comparison is the evidence for the comparison. The OpenClaw Directory has already demonstrated how much work a skill count can do when the directory itself is the pitch.

“DeepSkill promises real tests and real reviews, then asks you to copy a prompt so your agent can go find the evidence.”

¶ 03

A section titled "Make Skills visibly real" invites you to explore real work and practice cases. In the supplied full-page capture, that section is mostly open white space with a faint green glow and a tiny "01 / 02" pager at the bottom; the examples themselves are not visible in this capture. That could be a loading or capture-timing issue rather than an absent product, but it makes for a particularly unfortunate still image beneath a promise of visible proof. The next section recovers with "GitHub Skills Trending," a trophy card, star totals, and a list of repository-style names. Stars are a discovery signal, not a review of whether an agent completed a task.

¶ 04

Below the leaderboard come nine role tiles and nine scenario tiles: Product Manager, Human Resources, Systems and Automation, Life and Interests, and enough routes into the same search experience to make choosing a category its own assignment. Agent37 sells [redacted] the machinery for running agents; DeepSkill sells the shelves on which their skills can be found. The footer adds a "Source Disclaimer" saying some skill content comes from public channels, certified companies, or users and to be aware of risks before use. That caveat is sensible, and more candid than the hero: trust is a process, not a lime-green badge.

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