Borrowing it
Nothing to install: this file belongs to alyiox/mcp-walmart-ads. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alyiox/mcp-walmart-ads/main/AGENTS.mdgit clone --depth 1 https://github.com/alyiox/mcp-walmart-adsWrote 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/instructions/alyiox/mcp-walmart-ads/agents-md)<a href="https://agentmods.dev/instructions/alyiox/mcp-walmart-ads/agents-md"><img src="https://agentmods.dev/badge/instructions/alyiox/mcp-walmart-ads/agents-md/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.
<a href="https://agentmods.dev/instructions/alyiox/mcp-walmart-ads/agents-md"><img src="https://agentmods.dev/badge/instructions/alyiox/mcp-walmart-ads/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01331 | $0.01331 |
| Opus 5.5 | $0.00532 | $0.00532 |
| Sonnet 5.5 | $0.00266 | $0.00266 |
| Haiku 4.5 | $0.00133 | $0.00133 |
Grade A, and why
mcp-walmart-ads AGENTS.md 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- mcp-walmart-marketplace AGENTS.md — 94% identical, 81 lines differ
- mcp-samsclub-ads AGENTS.md — 88% identical, 80 lines differ
- mcp-docs-ask AGENTS.md — 84% identical, 59 lines differ
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Rules AI agents must follow when working in this repository.
Commit messages
Use Conventional Commits.
Header
- Format:
<type>(optional scope): summary - Use lowercase types (
feat,fix,ci,chore,docs) - Use scopes when relevant
- Write summaries in lowercase, imperative mood
Body
- Leave a blank line after the header
- Explain why, not what
- Use imperative, present tense
- Wrap lines at ~72 characters
The body is optional for trivial changes.
Release tags
- Use the bare version as the tag name — no
vprefix (e.g.0.1.0a4, not `v0.1.0a4``) - Tags must be annotated (
git tag -a) with a structured release-notes message - CI verifies the tag against
pyproject.tomlandserver.jsonbefore it publishes anything; a mismatch — avprefix included — fails the build rather than being silently rewritten
Commits
When generating commits via a shell:
- Do not pass generated messages directly to
git commit -m - Write the commit message to a file or standard input
- Use
git commit -F <file>orgit commit -F - - Disable shell expansion when writing commit messages
This avoids issues with backticks, quotes, and other shell-expanded characters in generated commit messages.
Code style
Follow existing project conventions.
- Match formatting, naming, and file structure already in use
- Wrap prose and Markdown at 100 columns, matching
line-lengthinpyproject.toml; leave code blocks, tables, and URLs unwrapped - Do not reformat unrelated code
- Prefer small, focused changes
- Avoid introducing new patterns without clear benefit
Language-specific rules
- Respect
.editorconfigwhen present - Do not disable lint rules without justification
- Prefer explicit, readable code over clever abstractions
- Ensure all changes pass
ruff check .,ruff format --check .,pyright, andpytest
uv Workflow Rules
- Use
uvexclusively for dependency management instead ofpip - Always prefix tool and script invocations with
uv runso they execute inside the managed environment - Do not manually create, activate, or delete
.venvdirectories - Bump the project version with
uv run python scripts/bump_version.py <new-version>— it drivesuv versionand propagates the result toserver.json, which carries the version twice; do not editpyproject.tomldirectly - Always commit
pyproject.toml,uv.lock, andserver.jsontogether after a version bump
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.
- 1mo ago Changed · +3 lines · +45 tokens per session 7dbebfdb17ab
- 1mo ago Changed · +15 lines · +14 tokens per session bd09be2511ef
- 1mo ago Changed · +6 lines · +62 tokens per session 6dcd2e16a6a9
- 1mo ago Changed · -3 tokens per session 913779133003
- 1mo ago Changed · +18 lines · +224 tokens per session a0f6d0f970eb
- 2mo ago First seen · 114 lines · 989 tokens per session scan A 95227c000f1a
mcp-walmart-ads AGENTS.md is an instructions file published in the GitHub repository alyiox/mcp-walmart-ads (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,331 tokens to every session, about $0.0053 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.
mcp-walmart-ads AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-walmart-ads AGENTS.mdalyiox/mcp-walmart-ads | Instructions file | 2 | 1mo ago | MIT | A | 1,331 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |