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.
npx agentmods add instructions/aboul3ata/lazyweb-skill/agents-mdgit clone --depth 1 https://github.com/aboul3ata/lazyweb-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/aboul3ata/lazyweb-skill/agents-md)<a href="https://agentmods.dev/instructions/aboul3ata/lazyweb-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/aboul3ata/lazyweb-skill/agents-md.svg" alt="Measured on agentmods" 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 | $0.01054 | $0.01054 |
| Opus 5 | $0.00527 | $0.00527 |
| Sonnet 5 | $0.00211 | $0.00211 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
lazyweb-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 yesterday.
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 — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lazyweb skill pack — agent guidance
Lazyweb report principles (governs any agent building a Lazyweb report)
Every Lazyweb skill produces an HTML report. Whatever the skill, the report must embody these four principles — they are the product, not a style preference.
-
Show, don't tell. Prove every claim with a real visual reference or data, never prose alone. Each assertion (pattern, anti-pattern, idea, hypothesis, "what's working", convention check, recommendation, or A/B learning) carries the screenshot(s)/experiment that demonstrate it, sitting with the claim. Quantify prevalence ("5 of 9 references") instead of asserting it ("near-universal"). Never render a proposed layout as ASCII/box-drawing
<pre>art — use an HTML/CSS prototype, mock-frame, or generated image. -
Be opinionated; carry the decision. Take a clear ranked stance and lead with a single recommended path, marked as such in the human-visible body (not only in the machine handoff block). Tell the user what to do first and what to skip, with a one-line reason each. Never hand over an undifferentiated menu of co-equal options and make the reader choose.
-
Maximize confidence with evidence. Back each recommendation with what worked for OTHER apps (real screenshots) PLUS supporting data — prevalence across the corpus, and A/B experiment learnings for growth/monetization screens. When experiment data is unavailable, say so and fall back to a stated prevalence count; never ship a recommendation with no visual and no number behind it.
-
Be truth-seeking. Never overclaim. Label evidence strength honestly (measured vs directional vs single-source/off-category) on each claim, and flag a weak, thin, single-source, or context-mismatched corpus up front. Tag any brand inferred from a URL/vision description as unverified. Never fabricate a reference, a metric, or a company name. The machine-readable handoff and the human-facing body must agree about confidence.
Shared report furniture (use the existing tokens --ink:#1f2328; --mut:#57606a; --line:#d0d7de; --soft:#eef4fb; --accent:#0969da): the light-blue Agent Instructions copy block is always section #1; reuse the shared .deck (evidence carousel — all references visible, scroll-snaps with ◀ ▶ prev/next buttons), .legend + .rec cards (opinionated ranked pick: a decision legend over big-proof recommendation cards, #1 = .rec.lead), .ebadge/.corpus (honest evidence labels), and .mock (mock-frame) components so every skill renders proof, decisions, and honesty the same way. One sanctioned substitution: lazyweb-deep-design-research (report v3) renders its decision as a side-by-side .compare (Control × Recommended in height-locked frames, with a ◀ ▶ variant switcher on the right frame) over an .option-deck of bet cards — no .legend table and no .ebadge chips there; ranking is carried by order + a Recommended flag, and evidence counts by plain words inside the evidence-deck captions — each card shows only two 8-14-word bolded What/Why bullets. It renders no patterns/.pat section — evidence lives in the bet decks and the clustered inspo map. Same decision/honesty semantics, quieter chrome. (It still reuses the shared .deck, .prev, .corpus, .flip, and .mock components.)
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.
- yesterday Changed · +1 lines · +41 tokens per session 3d42bdcffb19
- 5d ago First seen · 27 lines · 1,013 tokens per session scan A cc0db1d715a1
lazyweb-skill AGENTS.md is an instructions file published in the GitHub repository aboul3ata/lazyweb-skill (447 stars, last pushed 2d ago), licensed MIT. It adds 1,054 tokens to every session, about $0.0053 per session on Opus 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.