last30days-skill is an AI-agent research tool that searches sources including Reddit, X, YouTube, Hacker News, Polymarket, and the web, then combines the results into a short summary. People use it to investigate current topics using signals such as engagement, transcripts, and market odds; the catalogue entries define how supported coding agents run the research workflow.
Borrowing it
Nothing to install: this file belongs to mvanhorn/last30days-skill. 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/mvanhorn/last30days-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/mvanhorn/last30days-skillWrote 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/mvanhorn/last30days-skill/agents-md)<a href="https://agentmods.dev/instructions/mvanhorn/last30days-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mvanhorn/last30days-skill/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/mvanhorn/last30days-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mvanhorn/last30days-skill/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 | $0.03950 | $0.03950 |
| Opus 5.5 | $0.01580 | $0.01580 |
| Sonnet 5.5 | $0.00790 | $0.00790 |
| Haiku 4.5 | $0.00395 | $0.00395 |
Grade A, and why
last30days-skill 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 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
last30days Skill
Agent Skills package for researching any topic across Reddit, X, YouTube, and web. Installable across Claude Code (most common host), Codex, Cursor, GitHub Copilot, Gemini CLI, Grok (xAI), and 50+ other Agent Skills hosts. Python scripts with multi-source search aggregation.
Structure
skills/last30days/SKILL.md— canonical skill definition / runtime spec the model reads when the slash command fires; its reference-routing table gates the stage and mode instructions inskills/last30days/references/skills/last30days/scripts/last30days.py— main research engineskills/last30days/scripts/lib/— search, enrichment, rendering modulesskills/last30days/scripts/lib/vendor/bird-search/— vendored X search clientdocs/solutions/— documented solutions to past problems (bugs, best practices, workflow patterns), organized by category with YAML frontmatter (module,tags,problem_type)CONCEPTS.md— shared domain vocabulary (Skill, Engine, Harness, Beta channel) — relevant when orienting to the codebase or discussing project terminologyCONFIGURATION.md— user-facing knobs (env vars, flags, per-host install patterns); keep in sync per the rules belowCHANGELOG.md— structured release history built by towncrier at release time (launch copy lives in GitHub Releases)changelog.d/— per-PR news fragments; feature PRs write here, never editCHANGELOG.mddirectlyCONTRIBUTING.md— setup, fragments, and release notes for humans and agents (towncrier is release-only).github/scripts/prepare_release.py— lockstep version bump + towncrier build (release PRs only)HERMES_SETUP.md— install instructions for the Hermes harness specifically
Orientation
- This is an Agent Skills package, not a CLI tool. The product is the slash-command-invoked skill (
/last30days <topic>in most harnesses);scripts/last30days.pyis implementation. Claude Code is the most common host but not the only one — features must work across every harness the skill installs into. - Feature design starts from the slash-command UX. A new engine flag with no SKILL.md integration (the root or a routed reference) is incomplete — the model invoking the skill won't know the flag exists.
- README and PR examples show
/last30days <topic>first. Direct CLI invocation (python3 scripts/last30days.py ...) is a fallback for scripting, cron, and dev-time engine testing; label it as such, never as the primary path. - Slash commands don't pass shell mechanics through.
/last30days OpenClaw --emit=html | pbcopyis invalid in any harness — either use the slash form (no flags or pipes; let the model translate user intent into engine flags) or use the direct CLI form (fullpython3 ...with explicit flags and a real shell).
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 Changed · -2 tokens per session d7c1f72dfca8
- 11d ago Changed · +53 tokens per session 86896978100e
- 18d ago Changed · +25 tokens per session 4523e4aab4ea
- 19d ago Changed · +40 tokens per session b2d9a227aac2
- 1mo ago Changed · +18 tokens per session aa0ab761b8ad
- 1mo ago Changed · +105 tokens per session a26e9d19ea0f
- 1mo ago First seen · 134 lines · 3,711 tokens per session scan A 00499beb2c27
last30days-skill AGENTS.md is an instructions file published in the GitHub repository mvanhorn/last30days-skill (65,589 stars, last pushed today), licensed MIT. It adds 3,950 tokens to every session, about $0.0158 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.