explain-report

explain-report is a skill for Codex from minghinmatthewlam/agent-guards. It costs 69 tokens per session (435 once invoked), scanned A, original, MIT.

A guide for creating a self-contained HTML explanation of important project knowledge, such as architecture, research, decisions, incidents, audits, or major changes.

In plain words
What is it for?
Use it when a visual report is more useful than a short chat reply, and save the result as a responsive HTML report that works without JavaScript.
Why use it?
It gives information that people may need to revisit a durable, readable form with evidence, uncertainty, and open questions clearly separated.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: reads ~/.codex paths; mentions Codex.

Good fit Use it when a visual report is more useful than a short chat reply, and save the result as a responsive HTML report that works without JavaScript.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/minghinmatthewlam/agent-guards/explain-report
Install

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.

Any agent
npx skills add minghinmatthewlam/agent-guards --skill explain-report
Clone the repo
git clone --depth 1 https://github.com/minghinmatthewlam/agent-guards

Made for: Codex.

Wrote 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.

agentmods badge for explain-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/minghinmatthewlam/agent-guards/explain-report/github.svg)](https://agentmods.dev/skills/minghinmatthewlam/agent-guards/explain-report)
Your own site
<a href="https://agentmods.dev/skills/minghinmatthewlam/agent-guards/explain-report"><img src="https://agentmods.dev/badge/skills/minghinmatthewlam/agent-guards/explain-report/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.

agentmods 80×15 button for explain-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/minghinmatthewlam/agent-guards/explain-report"><img src="https://agentmods.dev/badge/skills/minghinmatthewlam/agent-guards/explain-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 435 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00435
Opus 5.5 $0.00028 $0.00174
Sonnet 5.5 $0.00014 $0.00087
Haiku 4.5 $0.00007 $0.00044

Measured 1mo ago against content hash 7dd2cd47c25c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explain-report 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.

skills/explain-report/SKILL.md · 42 lines

What it actually says

Explain Report

Create a focused HTML artifact that helps the user understand and retain important project knowledge. Default to concise chat when an artifact would not add meaningful value.

Apply concisely's teaching guidance throughout the artifact.

Content

  • Lead with the essential mental model, result, or decision.
  • Focus on what helps the user understand the project and decide what to do next.
  • Support claims with source files, tests, screenshots, logs, citations, or other material evidence.
  • Separate verified facts from inference, uncertainty, and open questions.
  • Put supporting depth after the main explanation or behind <details>.
  • Adapt the structure and depth to the subject. Do not force fixed modes, sections, or finding counts.

Use a visual only when it makes an important relationship easier to understand. Choose the simplest useful form, such as a flow, comparison, timeline, hierarchy, or before-and-after view.

Artifact

Write one self-contained .html file with embedded CSS. Keep it readable without JavaScript, responsive, accessible, and concise at the top.

Store retained reports at:

~/.codex/artifacts/reports/YYYY-MM-DD-<slug>.html

Use /tmp for disposable or exploratory reports. Keep reports outside the repository unless the user asks otherwise.

Before closing, confirm the file exists, opens as HTML, and represents important evidence accurately. Then use concisely for the chat response: state the result, link the report, and mention any decision or residual uncertainty without repeating the report.

Avoid

  • Do not use presentation as a substitute for investigation or verification.
  • Do not create decorative dashboards or visuals that repeat the prose.
  • Do not bury information that changes what the user should believe or do.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago Changed · +2 lines 7dd2cd47c25c
  2. 1mo ago First seen · 40 lines · 69 tokens per session scan A f9ae148a08be

Subscribe to this mod's changes

explain-report is a skill published in the GitHub repository minghinmatthewlam/agent-guards (47 stars, last pushed 8d ago), licensed MIT. It adds 69 tokens to every session and 435 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens