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 skills add aboul3ata/lazyweb-skill --skill lazyweb-explain-flowgit 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/skills/aboul3ata/lazyweb-skill/lazyweb-explain-flow)<a href="https://agentmods.dev/skills/aboul3ata/lazyweb-skill/lazyweb-explain-flow"><img src="https://agentmods.dev/badge/skills/aboul3ata/lazyweb-skill/lazyweb-explain-flow/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/skills/aboul3ata/lazyweb-skill/lazyweb-explain-flow"><img src="https://agentmods.dev/badge/skills/aboul3ata/lazyweb-skill/lazyweb-explain-flow.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 | $0.00100 | $0.00841 |
| Opus 5.5 | $0.00040 | $0.00336 |
| Sonnet 5.5 | $0.00020 | $0.00168 |
| Haiku 4.5 | $0.00010 | $0.00084 |
Grade C, and why
lazyweb-explain-flow scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
the user to run `curl -fsSL https://www.lazyweb.com/install.sh | bash`, reload, rerun. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
the user to run `curl -fsSL https://www.lazyweb.com/install.sh | bash`, reload, rerun. How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lazyweb — Explain a Flow
Host an explanatory diagram: a sectioned flow-view page, stored insert-only — every call hosts a new standalone page that never collides with anything else.
MCP Setup
Use the hosted Lazyweb MCP tools at https://www.lazyweb.com/mcp.
Required tools:
lazyweb_health— verify connectivity when the MCP surface is uncertainlazyweb_explain_flow— save the explanatory diagram (returnsexplainer_id+explainer_url)
If Lazyweb MCP is missing — or lazyweb_explain_flow isn't in the tool list — tell
the user to run curl -fsSL https://www.lazyweb.com/install.sh | bash, reload, rerun.
MCP plan responses
Inspect every data-bearing tool result before applying its normal schema:
MCP_PRO_REQUIRED: relay the server message and returned intent-boundupgrade_urlto the user, then stop. Do not retry another data tool or fall back to web/manual output.FREE_REPORT_DAILY_LIMIT: relay the server message and returned intent-boundupgrade_urlto the user, then stop. Do not retry another data tool or fall back to web/manual output.- Successful
status: "locked_preview": relaydisplay_to_userverbatim (or the returned MCP text if that is all the client exposes), including the preview and upgrade links. It is terminal: do not poll, retry another data tool, reconstruct output, or fall back.
Steps
- Understand what needs explaining. A question ("how does search work?"), a failure ("why did this report ignore the intent?"), a walkthrough, a comparison. Ground it in the real code/logs — read the handlers, don't invent.
- Build the explanatory diagram in the sectioned flow-view schema
(sections, actors, nodes/edges with
notes and realdatapayloads,bidirectionalon round trips; an explanation earns its keep with REAL content, not boxes). Data snippets meet an exactness bar: actual payloads from the code/logs,…only to redact secrets (never to shorten content), and a sliced array keeps its first item(s) full-shape with the omission count in thenote. Shape it for the QUESTION: order sections as the narrative, name the section titles as claims (e.g. "Where the run died — no model call"), put the "so what" in each node'snote. - Save it:
lazyweb_explain_flow({ title, summary, product?, diagram })→ share the returnedexplainer_url.
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 First seen · 75 lines · 100 tokens per session scan C 0eebb22b4cd8
lazyweb-explain-flow is a skill published in the GitHub repository aboul3ata/lazyweb-skill (455 stars, last pushed 26d ago), licensed MIT. It adds 100 tokens to every session and 841 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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