system-performance-guardrail

Measure, root-cause, fix, verify and record performance contention on a developer machine: cloud-sync daemons (iCloud Drive, OneDrive, Dropbox, Google Drive), file indexers, AI-tool MCP server fleets,

SKILL.md

GitHub

system-performance-guardrail — the machine is part of the test environment

Agentic delivery runs many things at once on one laptop: several AI CLI sessions, each with its own MCP servers; browser automation (Playwright, Selenium, Puppeteer, a CDP harness); indexers; cloud-sync clients; dev servers; test suites. When they contend, the symptoms look like product bugs — timeouts, flaky UI tests, "the site is slow" — and the next agent spends its budget diagnosing a healthy remote. This skill makes the machine's state a measured input, gives each signature a cause and a bounded action, and makes cleanup a contract rather than a hope.

Script: scripts/perf-guardrail.sh (bash 3.2, macOS, no sudo, no third-party tools). Read-only except cleanup --yes (kills), icloud throttle|restore (signals) and record (appends). Linux notes are at the end.

The loop

Phase Command Output
1 Measure perf-guardrail.sh snapshot --save /tmp/pre.snap, hangs 7, fleet, orphans (rows gives the same as machine-readable lines for CI gates) load vs cores, memory, swap, top consumers with the session that owns them, sync daemons (a stopped one is flagged), indexer, MCP fleets, automation browsers, and every app hang report with the frames that explain it
2 Attribute the signature table below one cause per signature, never "the Mac is slow"
3 Act only the sanctioned actions below bounded, reversible, one attempt
4 Verify perf-guardrail.sh verify /tmp/pre.snap, hangs 1 a before → after table in the reply; a fix without numbers did not happen
5 Record perf-guardrail.sh record "<one line>" a dated lessons file the next agent reads before re-deriving anything

Interpretation rules: load average on macOS counts runnable threads only, so high load with free memory is CPU contention, not paging; ps %cpu is a lifetime average, confirm live with top -l 2 -s 1 -pid; a frozen app (a hang report) is almost never memory — read the report.

Signature → cause → action

Signature Cause Action
Hang reports whose main thread waits in the cloud-sync client (ubiquityIdentityToken → CloudDocs → bird on macOS); the sync daemon shows stat T someone stopped the daemon with SIGSTOP; its IPC port stays open and every caller waits forever perf-guardrail.sh icloud restore (SIGCONT). Never SIGSTOP a sync daemon: a stopped process is worse than a dead one, because a dead one returns an error and a stopped one returns nothing
Load far above the core count, memory fine, a dozen npm exec …@latest / npx processes at 60–80% CPU each an AI CLI run starting its entire MCP server list; @latest re-resolves against the registry on every start fleet to find the owner; remove servers the run does not use; pin versions; prefer remote (HTTP) MCP servers over per-session stdio processes
Indexer (mds_stores, Windows Search) at 150–250% CPU, workers respawning indexing git repositories and node_modules inside a cloud-synced folder keep repositories outside the sync root; exclude dev trees from the indexer
git, rsync, mv asleep for minutes at 0% CPU on a synced path evicted ("online-only") files being materialised; moving a tree out of the sync root downloads all of it first work outside the sync root; copy out, verify against origin, delete in place — never mv out. Git state read inside a sync root is not trustworthy: the client can rewrite .git from a stale cloud snapshot
Sync client at 50–100% CPU with hundreds of item-not-found errors per 30 s retry storm after a mass deletion inside the sync root one restart of the client; then let it drain (overnight, if needed); last resort: sign the folder out and back in
Browser family memory > 6 GB, or a headless / throwaway-profile browser or WebDriver whose launcher is gone a test or browser skill opened it and never closed it perf-guardrail.sh cleanup lists the candidates; cleanup --yes kills them; --all --yes every disposable one after a test run. Only disposable browsers qualify: headless, or a profile under a temp dir / Playwright / Puppeteer / Selenium / harness path (extend with PERF_DISPOSABLE_RE). A browser on a normal profile is never a candidate, even with --remote-debugging-port — that is a developer's DevTools session; PERF_KEEP_RE protects anything else
Several AI CLI sessions each holding stdio MCP children every session starts its own servers close idle sessions; remote servers where they exist

Sanctioned actions and guards

Safe, reversible, no permission needed: SIGCONT a stopped daemon; throttle a sync client to background priority (taskpolicy -b on macOS, renice/ionice on Linux) rather than stopping it; kill disposable automation browsers and drivers (cleanup --yes; dry run first); remove unused MCP servers after backing up the config; one killall of a wedged daemon that its supervisor will respawn.

Needs the operator: system extensions, privileged daemons, indexer privacy lists, turning "optimise storage" off (check how many gigabytes would download first).

Never: SIGSTOP a daemon; unload a system-protected service; mv a tree out of a sync root; kill by name pattern without reading the parent chain; loop a kill.

The cloud-sync and performance optimisation scale

Use it to say where a machine or a team is, and what the next step costs.

Level State Evidence
L0 Unmeasured slowness is folklore; agents retry and blame the remote no snapshot, no hang-report triage
L1 Measured one snapshot before retrying anything; WARN/CRIT thresholds snapshot in every degradation report
L2 Attributed every consumer has an owner; hang reports read; signatures named fleet, orphans, hangs in the record
L3 Governed sanctioned actions only; sync throttled on a schedule, never stopped; repositories outside the sync root; tests close what they open scheduler in place, cleanup contract in the test strategy, lessons file growing
L4 Self-healing scheduled checks re-apply throttles and heal stray stops; cleanup runs after every automation job; before/after numbers in every report zero hang reports over a month; no orphaned browsers older than a run

The test-hygiene contract (for every generated UI/UX/performance/load test)

  1. Teardown is unconditional: every browser, context, page, driver, dev server and child process is closed in afterEach/afterAll or try/finally, and closing runs on failure.
  2. Teardown is proven: the suite ends with a resource count — automation browsers and drivers = 0, harness tabs ≤ the cap, no MCP child older than the run — and fails on leftovers.
  3. Browser-driving skills obey the same contract: close every tab you opened before the turn ends; never leave the automation browser with more than ten tabs.
  4. Performance tests measure a quiet machine: snapshot first; if load exceeds the core count or a sync daemon is busy, the numbers are not the product's.
  5. The failsafe is not the fix: a leftover that cleanup lists is a defect filed against the suite, with the orphans output as evidence.

Cross-harness

Copy or symlink this directory into each harness's skill root (Claude Code ~/.claude/skills, Codex ~/.codex/skills, Antigravity ~/.gemini/config/skills). Headless model lanes that cannot run commands should be given the script's output to reason over.

Linux notes

Replace memory_pressure with /proc/meminfo, sysctl vm.loadavg with /proc/loadavg, hang reports with journalctl -p err and coredumpctl, taskpolicy -b with renice 19 + ionice -c3, and the daemon names with the sync client in use.