systemlens-troubleshooting

systemlens-troubleshooting is a skill for Codex from Quod-cmd/SystemLens. It costs 59 tokens per session (326 once invoked), scanned A, original, MIT.

A read-only troubleshooting skill for diagnosing Windows computer problems from SystemLens telemetry. Telemetry is system information such as startup, storage, driver, service, network, and crash data.

In plain words
What is it for?
It is for investigating Windows slowness, crashes, storage issues, startup problems, drivers, services, networks, and peripherals when a paired PC can provide the relevant data.
Why use it?
It helps separate observed evidence from guesses without changing the computer during diagnosis.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for investigating Windows slowness, crashes, storage issues, startup problems, drivers, services, networks, and peripherals when a paired PC can provide the relevant data.

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Install with agentmods
npx agentmods add skills/quod-cmd/systemlens/systemlens-troubleshooting
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 Quod-cmd/SystemLens --skill systemlens-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/Quod-cmd/SystemLens

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 systemlens-troubleshooting

README.md
[![agentmods](https://agentmods.dev/badge/skills/quod-cmd/systemlens/systemlens-troubleshooting.svg)](https://agentmods.dev/skills/quod-cmd/systemlens/systemlens-troubleshooting)
Your own site
<a href="https://agentmods.dev/skills/quod-cmd/systemlens/systemlens-troubleshooting"><img src="https://agentmods.dev/badge/skills/quod-cmd/systemlens/systemlens-troubleshooting.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 326 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.
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 $0.00059 $0.00326
Opus 5 $0.00030 $0.00163
Sonnet 5 $0.00012 $0.00065
Haiku 4.5 $0.00006 $0.00033

Measured 7d ago against content hash f3c21a358bdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

systemlens-troubleshooting 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 7d 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/systemlens-troubleshooting/SKILL.md · 19 lines

What it actually says

SystemLens Troubleshooting

Use the smallest relevant set of SystemLens tools. Start with a system overview only for broad or ambiguous symptoms; for a narrow report, call the targeted collector directly.

Treat unsupported, partial, access_denied, timeouts, and missing values as limitations. Never reinterpret them as healthy. Distinguish observed evidence from hypotheses and do not claim causation from correlation alone.

Before suggesting a user-performed troubleshooting change, create a temporary diagnostic snapshot containing only the categories needed to test the hypothesis. Explain the proposed change, its risk, and how to undo it. SystemLens itself is read-only and cannot authorize or perform the change.

After the user confirms they completed the change, compare the snapshot with current evidence. Report concrete deltas, note evidence that did not change, and say whether the hypothesis became more or less plausible. Delete the snapshot when the user asks, or allow it to expire automatically.

Prefer concise conversation text for diagnosis and next steps. Render the evidence card only when a baseline or before/after comparison is materially easier to understand visually.

Never request arbitrary commands, scripts, registry paths, file contents, browser history, keystrokes, screenshots, or raw Event Viewer dumps. Never reveal device credentials, OAuth tokens, or unsanitized profile paths.

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. 7d ago First seen · 19 lines · 59 tokens per session scan A f3c21a358bdb

Subscribe to this mod's changes

systemlens-troubleshooting is a skill published in the GitHub repository Quod-cmd/SystemLens (0 stars, last pushed 11d ago), licensed MIT. It adds 59 tokens to every session and 326 once invoked, about $0.0003 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 2026-08-31.

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