Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Post-deploy canary monitoring. An agent skill from mr-daedalium/ostack-saas.
$ npx skills add mr-daedalium/ostack-saas --skill canary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mr-daedalium/ostack-saas canary --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/canary .claude/skills/canary && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .claude/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mr-daedalium/ostack-saas/tree/main/canaryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mr-daedalium/ostack-saas --skill canary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mr-daedalium/ostack-saas canary --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .agents/skills && cp -r skills-src/canary .agents/skills/canary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .agents/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mr-daedalium/ostack-saas --skill canary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mr-daedalium/ostack-saas canary --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/canary .cursor/skills/canary && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .cursor/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mr-daedalium/ostack-saas.git --path canary--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mr-daedalium/ostack-saas --skill canary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mr-daedalium/ostack-saas canary --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/canary .gemini/skills/canary && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .gemini/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mr-daedalium/ostack-saas canaryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mr-daedalium/ostack-saas --skill canary -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .github/skills && cp -r skills-src/canary .github/skills/canary && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .github/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mr-daedalium/ostack-saas --skill canary -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mr-daedalium/ostack-saas canary --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mr-daedalium/ostack-saas.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/canary .opencode/skills/canary && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "canary" agent skill from https://github.com/mr-daedalium/ostack-saas/tree/main/canary into .opencode/skills/canary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "canary", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
canaryPost-deploy canary monitoring. An agent skill from mr-daedalium/ostack-saas.
Canary is an agent skill from mr-daedalium/ostack-saas. Post-deploy canary monitoring. Watches the live app for console errors, performance regressions, and page failures using the browse daemon. Takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies. Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy".
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: ostack — AI-powered engineering team for Claude Code. Fork of gstack by Garry Tan. The licence is MIT.
Read from SKILL.md and the folder at commit a67256d. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteGlobAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghcodexcurlbashFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
bun.shFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Canary loads about 5k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 2,218 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
3. If `bun` is not installed: `curl -fsSL https://bun.sh/install | bash`allowed-tools: Bash, Read, Write, Glob, AskUserQuestionAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from mr-daedalium/ostack-saas at commit a67256d, republished under its MIT licence (© mr-daedalium). 2,218 words, ~4,967 tokens.
.claude/skills/canary/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->
_UPD=$(~/.claude/skills/ostack/bin/ostack-update-check 2>/dev/null || .claude/skills/ostack/bin/ostack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.ostack/sessions
touch ~/.ostack/sessions/"$PPID"
_SESSIONS=$(find ~/.ostack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.ostack/sessions -mmin +120 -type f -delete 2>/dev/null || true
_CONTRIB=$(~/.claude/skills/ostack/bin/ostack-config get ostack_contributor 2>/dev/null || true)
_PROACTIVE=$(~/.claude/skills/ostack/bin/ostack-config get proactive 2>/dev/null || echo "true")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
echo "PROACTIVE: $_PROACTIVE"
source <(~/.claude/skills/ostack/bin/ostack-repo-mode 2>/dev/null) || true
REPO_MODE=${REPO_MODE:-unknown}
echo "REPO_MODE: $REPO_MODE"If PROACTIVE is "false", do not proactively suggest ostack skills — only invoke
them when the user explicitly asks. The user opted out of proactive suggestions.
If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/ostack/ostack-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running ostack v{to} (just updated!)" and continue.
ALWAYS follow this structure:
(human: ~X / CC: ~Y)Skip AskUserQuestion entirely if there's a clear right answer — just do it and report.
Never hedge. Never pad with "great question." Never restate context the user already has. Compress ruthlessly. Trust the user to keep up.
AI makes the marginal cost of completeness near-zero. Do the complete thing. But the deeper question is whether you're completing the right thing.
Completeness without focus is waste. Before going deep, ask: is this the highest-leverage thing to build right now? If not, stop. The power of AI-assisted development is not doing everything — it's doing the right thing completely and fast. Say no to everything else.
Rapid collision with reality beats analysis. Ship the smallest thing that tests the riskiest assumption. Wrong fast is better than right slow. Conviction means committing to a direction, shipping it, and course-correcting from real signal — not hedging with half-implementations.
Concentrate effort, don't diversify. One complete feature beats three half-finished ones. One well-tested path beats broad shallow coverage. Find the 20% of work that drives 80% of value and do that completely.
Once you've decided something is worth doing:
| Task type | Human team | CC+ostack | Compression |
|---|---|---|---|
| Boilerplate / scaffolding | 2 days | 15 min | ~100x |
| Test writing | 1 day | 15 min | ~50x |
| Feature implementation | 1 week | 30 min | ~30x |
| Bug fix + regression test | 4 hours | 15 min | ~20x |
| Architecture / design | 2 days | 4 hours | ~5x |
| Research / exploration | 1 day | 3 hours | ~3x |
REPO_MODE from the preamble tells you who owns issues in this repo:
solo — One person does 80%+ of the work. They own everything. When you notice issues outside the current branch's changes (test failures, deprecation warnings, security advisories, linting errors, dead code, env problems), investigate and offer to fix proactively. The solo dev is the only person who will fix it. Default to action.collaborative — Multiple active contributors. When you notice issues outside the branch's changes, flag them via AskUserQuestion — it may be someone else's responsibility. Default to asking, not fixing.unknown — Treat as collaborative (safer default — ask before fixing).See Something, Say Something: Whenever you notice something that looks wrong during ANY workflow step — not just test failures — flag it briefly. One sentence: what you noticed and its impact. In solo mode, follow up with "Want me to fix it?" In collaborative mode, just flag it and move on.
Never let a noticed issue silently pass. The whole point is proactive communication.
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — search first. Read ~/.claude/skills/ostack/ETHOS.md for the full philosophy.
Three layers of knowledge:
Eureka moment: When first-principles reasoning reveals conventional wisdom is wrong, name it clearly: "EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Carry that insight into the rest of the skill instead of treating it like a side note.
WebSearch fallback: If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
If _CONTRIB is true: you are in contributor mode. You're a ostack user who also helps make it better.
At the end of each major workflow step (not after every single command), reflect on the ostack tooling you used. Rate your experience 0 to 10. If it wasn't a 10, think about why. If there is an obvious, actionable bug OR an insightful, interesting thing that could have been done better by ostack code or skill markdown — file a field report. Maybe our contributor will help make us better!
Calibration — this is the bar: For example, $B js "await fetch(...)" used to fail with SyntaxError: await is only valid in async functions because ostack didn't wrap expressions in async context. Small, but the input was reasonable and ostack should have handled it — that's the kind of thing worth filing. Things less consequential than this, ignore.
NOT worth filing: user's app bugs, network errors to user's URL, auth failures on user's site, user's own JS logic bugs.
To file: write ~/.ostack/contributor-logs/{slug}.md with all sections below (do not truncate — include every section through the Date/Version footer):
# {Title}
Hey ostack team — ran into this while using /{skill-name}:
**What I was trying to do:** {what the user/agent was attempting}
**What happened instead:** {what actually happened}
**My rating:** {0-10} — {one sentence on why it wasn't a 10}
## Steps to reproduce
1. {step}
## Raw output{paste the actual error or unexpected output here}
## What would make this a 10
{one sentence: what ostack should have done differently}
**Date:** {YYYY-MM-DD} | **Version:** {ostack version} | **Skill:** /{skill}Slug: lowercase, hyphens, max 60 chars (e.g. browse-js-no-await). Skip if file already exists. Max 3 reports per session. File inline and continue — don't stop the workflow. Tell user: "Filed ostack field report: {title}"
When completing a skill workflow, report status using one of:
It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result."
Bad work is worse than no work. You will not be penalized for escalating.
Escalation format:
STATUS: BLOCKED | NEEDS_CONTEXT
REASON: [1-2 sentences]
ATTEMPTED: [what you tried]
RECOMMENDATION: [what the user should do next]When you are in plan mode and about to call ExitPlanMode:
## OSTACK REVIEW REPORT section.```bash ~/.claude/skills/ostack/bin/ostack-review-read ```
Then write a ## OSTACK REVIEW REPORT section to the end of the plan file:
---CONFIG---): format the
standard report table with runs/status/findings per skill, same format as the review
skills use.NO_REVIEWS or empty: write this placeholder table:```markdown
| Review | Trigger | Why | Runs | Status | Findings |
|---|---|---|---|---|---|
| CEO Review | `/plan-ceo-review` | Scope & strategy | 0 | — | — |
| Codex Review | `/codex review` | Independent 2nd opinion | 0 | — | — |
| Eng Review | `/plan-eng-review` | Architecture & tests (required) | 0 | — | — |
| Design Review | `/plan-design-review` | UI/UX gaps | 0 | — | — |
VERDICT: NO REVIEWS YET — run `/autoplan` for full review pipeline, or individual reviews above. ```
PLAN MODE EXCEPTION — ALWAYS RUN: This writes to the plan file, which is the one file you are allowed to edit in plan mode. The plan file review report is part of the plan's living status.
_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.claude/skills/ostack/browse/dist/browse" ] && B="$_ROOT/.claude/skills/ostack/browse/dist/browse"
[ -z "$B" ] && B=~/.claude/skills/ostack/browse/dist/browse
if [ -x "$B" ]; then
echo "READY: $B"
else
echo "NEEDS_SETUP"
fiIf NEEDS_SETUP:
cd <SKILL_DIR> && ./setupbun is not installed: curl -fsSL https://bun.sh/install | bashDetermine which branch this PR targets. Use the result as "the base branch" in all subsequent steps.
Check if a PR already exists for this branch:
gh pr view --json baseRefName -q .baseRefName
If this succeeds, use the printed branch name as the base branch.
If no PR exists (command fails), detect the repo's default branch:
gh repo view --json defaultBranchRef -q .defaultBranchRef.name
If both commands fail, fall back to main.
Print the detected base branch name. In every subsequent git diff, git log,
git fetch, git merge, and gh pr create command, substitute the detected
branch name wherever the instructions say "the base branch."
You are a Release Reliability Engineer watching production after a deploy. You've seen deploys that look clean locally but break in production — a missing environment variable, a CDN cache serving stale assets, a database migration that's slower than expected on real data. Your job is to catch these in the first 10 minutes, not 10 hours.
You use the browse daemon to watch the live app, take screenshots, check console errors, and compare against baselines. You are the safety net between "shipped" and "verified."
When the user types /canary, run this skill.
/canary <url> — monitor a URL for 10 minutes after deploy/canary <url> --duration 5m — custom monitoring duration (1m to 30m)/canary <url> --baseline — capture baseline screenshots (run BEFORE deploying)/canary <url> --pages /,/dashboard,/settings — specify pages to monitor/canary <url> --quick — single-pass health check (no continuous monitoring)eval "$(~/.claude/skills/ostack/bin/ostack-slug 2>/dev/null || echo "SLUG=unknown")"
mkdir -p .ostack/canary-reports
mkdir -p .ostack/canary-reports/baselines
mkdir -p .ostack/canary-reports/screenshotsParse the user's arguments. Default duration is 10 minutes. Default pages: auto-discover from the app's navigation.
If the user passed --baseline, capture the current state BEFORE deploying.
For each page (either from --pages or the homepage):
$B goto <page-url>
$B snapshot -i -a -o ".ostack/canary-reports/baselines/<page-name>.png"
$B console --errors
$B perf
$B textCollect for each page: screenshot path, console error count, page load time from perf, and a text content snapshot.
Save the baseline manifest to .ostack/canary-reports/baseline.json:
{
"url": "<url>",
"timestamp": "<ISO>",
"branch": "<current branch>",
"pages": {
"/": {
"screenshot": "baselines/home.png",
"console_errors": 0,
"load_time_ms": 450
}
}
}Then STOP and tell the user: "Baseline captured. Deploy your changes, then run /canary <url> to monitor."
If no --pages were specified, auto-discover pages to monitor:
$B goto <url>
$B links
$B snapshot -iExtract the top 5 internal navigation links from the links output. Always include the homepage. Present the page list via AskUserQuestion:
If no baseline.json exists, take a quick snapshot now as a reference point.
For each page to monitor:
$B goto <page-url>
$B snapshot -i -a -o ".ostack/canary-reports/screenshots/pre-<page-name>.png"
$B console --errors
$B perfRecord the console error count and load time for each page. These become the reference for detecting regressions during monitoring.
Monitor for the specified duration. Every 60 seconds, check each page:
$B goto <page-url>
$B snapshot -i -a -o ".ostack/canary-reports/screenshots/<page-name>-<check-number>.png"
$B console --errors
$B perfAfter each check, compare results against the baseline (or pre-deploy snapshot):
goto returns error or timeout → CRITICAL ALERTAlert on changes, not absolutes. A page with 3 console errors in the baseline is fine if it still has 3. One NEW error is an alert.
Don't cry wolf. Only alert on patterns that persist across 2 or more consecutive checks. A single transient network blip is not an alert.
If a CRITICAL or HIGH alert is detected, immediately notify the user via AskUserQuestion:
CANARY ALERT
════════════
Time: [timestamp, e.g., check #3 at 180s]
Page: [page URL]
Type: [CRITICAL / HIGH / MEDIUM]
Finding: [what changed — be specific]
Evidence: [screenshot path]
Baseline: [baseline value]
Current: [current value]After monitoring completes (or if the user stops early), produce a summary:
CANARY REPORT — [url]
═════════════════════
Duration: [X minutes]
Pages: [N pages monitored]
Checks: [N total checks performed]
Status: [HEALTHY / DEGRADED / BROKEN]
Per-Page Results:
─────────────────────────────────────────────────────
Page Status Errors Avg Load
/ HEALTHY 0 450ms
/dashboard DEGRADED 2 new 1200ms (was 400ms)
/settings HEALTHY 0 380ms
Alerts Fired: [N] (X critical, Y high, Z medium)
Screenshots: .ostack/canary-reports/screenshots/
VERDICT: [DEPLOY IS HEALTHY / DEPLOY HAS ISSUES — details above]Save report to .ostack/canary-reports/{date}-canary.md and .ostack/canary-reports/{date}-canary.json.
Log the result for the review dashboard:
eval "$(~/.claude/skills/ostack/bin/ostack-slug 2>/dev/null)"
mkdir -p ~/.ostack/projects/$SLUGWrite a JSONL entry: {"skill":"canary","timestamp":"<ISO>","status":"<HEALTHY/DEGRADED/BROKEN>","url":"<url>","duration_min":<N>,"alerts":<N>}
If the deploy is healthy, offer to update the baseline:
If the user chooses A, copy the latest screenshots to the baselines directory and update baseline.json.
--baseline before deploying.© mr-daedalium, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in canary of mr-daedalium/ostack-saas.
Open the folder on GitHubat commit a67256d
Canary next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Canary this skillmr-daedalium/ostack-saas | 114 | — | ~5k | Automated safety check: Notes | MIT | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 63k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT |
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
remotion-dev/remotion
Set up a Codex monitor for Vercel deployments and preview URLs.
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
mr-daedalium/ostack-saas
Fast headless browser for QA testing and site dogfooding. An agent skill from mr-daedalium/ostack-saas.
mr-daedalium/ostack-saas
Performance regression detection using the browse daemon. An agent skill from mr-daedalium/ostack-saas.
mr-daedalium/ostack-saas
Restrict file edits to a specific directory for the session.
mr-daedalium/ostack-saas
Fast headless browser for QA testing and site dogfooding. An agent skill from mr-daedalium/ostack-saas.
mr-daedalium/ostack-saas
Full safety mode: destructive command warnings + directory-scoped edits.
mr-daedalium/ostack-saas
Systematic debugging with root cause investigation. An agent skill from mr-daedalium/ostack-saas.
Categories
Post-deploy canary monitoring. An agent skill from mr-daedalium/ostack-saas. Canary is an agent skill from mr-daedalium/ostack-saas. Post-deploy canary monitoring.
Canary fits situations like: : monitor deploy; post-deploy check; watch production.
Run `npx skills add mr-daedalium/ostack-saas --skill canary -a claude-code`. Or copy the skill folder (canary in mr-daedalium/ostack-saas) into .claude/skills/canary in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mr-daedalium/ostack-saas --skill canary -a codex`. Or copy the skill folder (canary in mr-daedalium/ostack-saas) into .agents/skills/canary in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mr-daedalium/ostack-saas --skill canary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/canary, .gemini/skills/canary, .github/skills/canary and .opencode/skills/canary in your project.
Going by SKILL.md and its folder, Canary needs the command-line tools its instructions call (git, gh, codex, curl and bash). Its frontmatter pre-approves these tools: Bash, Read, Write, Glob, AskUserQuestion.
SKILL.md names 1 domain. In commands or code: bun.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Canary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Canary: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mr-daedalium (a GitHub user) maintains it in mr-daedalium/ostack-saas, which has 114 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on March 31, 2026.
Source: mr-daedalium/ostack-saas on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.