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 agentmods add skills/alleneubank/claude-code/tiltnpx skills add alleneubank/claude-code --skill tiltgit clone --depth 1 https://github.com/alleneubank/claude-codeWhat 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 | $0.00033 | $0.01291 |
| Opus 5 | $0.00016 | $0.00646 |
| Sonnet 5 | $0.00007 | $0.00258 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
tilt scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Docker-compose resources are a blind spot.** Their `runtimeStatus`/`updateStatus` reflect only build/up state, NOT the container's docker `HEALTHCHECK` — so a probe-failing container (`docker ps` → `Up (unhealthy)`) re How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tilt
First Action: Check for Errors
Before investigating issues or verifying deployments, check resource health. Run errors first, separately from pending/in-progress — otherwise real failures get buried in 20+ pending lines:
# 1. Errors only — surface the buildHistory[0].error so you see WHY, not just THAT
tilt get uiresources -o json | jq -r '.items[] | select(.status.runtimeStatus == "error" or .status.updateStatus == "error") | "\(.metadata.name): runtime=\(.status.runtimeStatus) update=\(.status.updateStatus)\n reason: \((.status.buildHistory[0].error // "(no buildHistory error; check tilt logs)") | gsub("\n"; " ") | .[0:240])"'
# 2. In-progress and pending — informational; an in-progress build may flip to error any moment
tilt get uiresources -o json | jq -r '.items[] | select(.status.updateStatus == "in_progress" or .status.updateStatus == "pending" or .status.runtimeStatus == "pending") | "\(.metadata.name): runtime=\(.status.runtimeStatus) update=\(.status.updateStatus)"'
# 3. Docker-compose container health — MISSED by the error filter above.
# An `Up (unhealthy)` compose container keeps runtimeStatus=ok/update=ok, so
# queries 1-2 never flag it; the red UI badge comes from healthStatus here.
tilt get uiresources -o json | jq -r '.items[] | select(.status.composeResourceInfo.healthStatus == "unhealthy") | "\(.metadata.name): compose healthStatus=unhealthy (HEALTHCHECK failing — service may still be up)"'
# 4. Quick status overview
tilt get uiresources -o json | jq '[.items[].status.updateStatus] | group_by(.) | map({status: .[0], count: length})'
If a resource is in_progress when you check, re-poll before declaring it healthy — it can transition straight to error with a populated buildHistory[0].error. The updateStatus field reflects only the current build attempt; the last error always lives in buildHistory[0].error even when updateStatus is none or not_applicable.
Docker-compose resources are a blind spot. Their runtimeStatus/updateStatus reflect only build/up state, NOT the container's docker HEALTHCHECK — so a probe-failing container (docker ps → Up (unhealthy)) reads runtimeStatus=ok and slips past queries 1-2, while the Tilt UI still reddens it. The authoritative signal is .status.composeResourceInfo.healthStatus (healthy / unhealthy / absent when the service has no healthcheck), which query 3 catches. These resources also have k8sResourceInfo: null (spec.type == "docker-compose"); to find why a probe fails, drop to docker: docker inspect <compose-project>-<svc> --format '{{json .State.Health}}' reads the probe's last exit code + output. A common cause is the healthcheck script invoking a CLI the image doesn't ship (e.g. curl/grpcurl removed in slimmed images) — the service is fine, the probe is broken.
What ships with it
2 files 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.
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.
- 2d ago First seen · 105 lines · 33 tokens per session scan A 8ccb87311af4
tilt is a skill published in the GitHub repository alleneubank/claude-code (52 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,291 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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.
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…