Algo Ad Gsp

What it does

When your agent uses it

• The user needs to understand search ad auctions
• Compute ad positions and costs-per-click
• Analyze bidding dynamics — even if they say how does Google Ads auction work
• Ad rank calculation

Example prompts

• “how does Google Ads auction work”
• “ad rank calculation”
• “second price auction for ads”
• “/algo-ad-gsp”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Input Validation
2. 2Core Algorithm
3. 3Verification
4. 4Output

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Algo Ad Gsp loads about 995 tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 406 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~86

When it runs · the whole SKILL.md, loaded when a task matches

~995

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 406 words, ~995 tokens.

name

algo-ad-gsp

description

Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.

metadata.category

WP-37 廣告演算法

metadata.tags

advertising, auction, gsp, ad-pricing

IRON LAW: GSP Is NOT Incentive-Compatible
Unlike Vickrey (single-item second-price) auctions, truthful bidding
is NOT a dominant strategy in GSP. Bidders may strategically shade
bids below their true value. The equilibrium depends on competitor bids.
Ad Rank = Bid × Quality Score (Google's variant adds format/extensions).

{
  "slots": [{"advertiser": "A", "position": 1, "ad_rank": 8.5, "cpc": 2.10, "est_clicks": 100}],
  "metadata": {"total_bidders": 15, "slots_available": 4, "auction_type": "gsp"}
}

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in algo-ad-gsp of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/gsp-equilibrium.md
• references/gsp-vs-vcg.md

Open the folder on GitHubat commit 4e7f4f8