Borrowing it
Nothing to install: this file belongs to erikdarlingdata/PerformanceMonitor. 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/erikdarlingdata/PerformanceMonitor/main/.claude/skills/maintenance/SKILL.mdgit clone --depth 1 https://github.com/erikdarlingdata/PerformanceMonitorWrote 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/erikdarlingdata/performancemonitor/maintenance)<a href="https://agentmods.dev/skills/erikdarlingdata/performancemonitor/maintenance"><img src="https://agentmods.dev/badge/skills/erikdarlingdata/performancemonitor/maintenance/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/erikdarlingdata/performancemonitor/maintenance"><img src="https://agentmods.dev/badge/skills/erikdarlingdata/performancemonitor/maintenance.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 | $0.00031 | $0.02223 |
| Opus 5.5 | $0.00012 | $0.00889 |
| Sonnet 5.5 | $0.00006 | $0.00445 |
| Haiku 4.5 | $0.00003 | $0.00222 |
Grade A, and why
maintenance 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 15d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- maintenance — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Routine Maintenance Pass
A repeatable every-1-3-months health check for the .NET desktop + SQL-monitoring repos
(PerformanceMonitor = WPF, PerformanceStudio = Avalonia; same dependency/build/release shape).
$ARGUMENTS optionally scopes it (deps, build, or all — default all).
Work top to bottom. Do read-only scans first and report findings; make fixes on a feature
branch/worktree (branch protection: never commit to dev/main), build + test, then PR to dev.
Low-risk patch/minor bumps can go in one PR; majors and anything release-critical get their own.
A. Dependencies & Security
Scope — scan every project, not just the solution. A repo's
.slnmay not list every project. PerformanceStudio'sPlanViewer.slnomitsserver/PlanShare.csprojand the SSMS VSIX (PlanViewer.Ssms,PlanViewer.Ssms.Installer), so thedotnet list <Solution>.sln …scans and the solution build all silently skip them. Run the checks against those projects too. The net472 VSIX is old-style, sodotnet listis unreliable on it — read its<PackageReference>s by hand (itsMicrosoft.VSSDK.BuildToolsis intentionally held on the 17.x line; 18.x is un-restorable from nuget.org and targets VS 18, not VS 2022). Where the.slncovers all projects, the solution is enough.
- Outdated packages.
dotnet list <Solution>.sln package --outdated- Take low-risk patch/minor bumps (Microsoft.Extensions.*, Test.Sdk, etc.).
- Majors get their own effort — especially the update framework (Velopack: bump the library AND the
vpkCLI pin in the release workflow —.github/workflows/release.ymlfor PerformanceStudio — together; validate the in-app + Setup.exe update path) and anything release-critical. - Engine-wrapped bindings (e.g. DuckDB.NET) trail the native engine — bump when the binding catches up, and validate behavior (for DuckDB run
tools/CompactionReprore: the parquet-COPY memory-limit floor before changing the version). - After version edits, if the repo uses lock files (
packages.lock.json— PerformanceMonitor does; PerformanceStudio does not), regenerate them:dotnet restore <Solution>.sln --force-evaluate(CI restores--locked-mode).
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.
- 15d ago Changed · +2 lines 2d358c9398b4
- 1mo ago First seen · 75 lines · 31 tokens per session scan A b9f08f042ec1
maintenance is a skill published in the GitHub repository erikdarlingdata/PerformanceMonitor (528 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 2,223 once invoked, about $0.0001 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 2026-09-10.
maintenance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| maintenanceerikdarlingdata/PerformanceMonitor | Skill | 528 | today | MIT | A | 31 | Claude Code |
| network-data-analysisautomateyournetwork/netclaw | Skill | 715 | yesterday | Apache-2.0 | A | 64 | Claude Code, Codex |
| usageCanner/WrenAI | Skill | 18k | 2d ago | none | A | 156 | Claude Code, Codex |
| generate-mdlCanner/WrenAI | Skill | 18k | 2d ago | none | A | 82 | Claude Code, Codex |
| genbiCanner/WrenAI | Skill | 18k | 2d ago | none | A | 140 | Claude Code, Codex |
| analytical-databases-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 100 | Claude Code |
| csvqlmelihbirim/csvql | Skill | 30 | today | MIT | A | 80 | Claude Code |