Vercel Optimize Audit
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions.
$ npx skills add ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ag2ai/build-with-ag2 ag2-observers-and-alerts --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/ag2ai/build-with-ag2.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .claude/skills/ag2-observers-and-alerts && 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 "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .claude/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alertsType 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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ag2ai/build-with-ag2 ag2-observers-and-alerts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .agents/skills/ag2-observers-and-alerts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .agents/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ag2ai/build-with-ag2 ag2-observers-and-alerts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .cursor/skills/ag2-observers-and-alerts && 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 "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .cursor/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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/ag2ai/build-with-ag2.git --path .agents/skills/ag2-observers-and-alerts--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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ag2ai/build-with-ag2 ag2-observers-and-alerts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .gemini/skills/ag2-observers-and-alerts && 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 "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .gemini/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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 ag2ai/build-with-ag2 ag2-observers-and-alertsInstalls 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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .github/skills/ag2-observers-and-alerts && 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 "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .github/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ag2ai/build-with-ag2 ag2-observers-and-alerts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/ag2-observers-and-alerts .opencode/skills/ag2-observers-and-alerts && 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 "ag2-observers-and-alerts" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-observers-and-alerts into .opencode/skills/ag2-observers-and-alerts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-observers-and-alerts", 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.
ag2-observers-and-alertsMonitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions.
Ag2 Observers And Alerts is an agent skill from ag2ai/build-with-ag2. Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions. Covers @observer(...) (stateless), BaseObserver (stateful), built-ins (TokenMonitor, LoopDetector), Watch primitives (EventWatch, CadenceWatch, DelayWatch, IntervalWatch, CronWatch, AllOf, AnyOf, Sequence), ObserverAlert (Severity.INFO/WARNING/CRITICAL/FATAL), AlertPolicy, and HaltEvent. Use when the user wants…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including assets (for example `assets/safety_guard.py` and `assets/token_watchdog.py`).
It sits in DevOps & Cloud, covering Observability. The repository describes itself as: Sample code and application showcases to get you going with AG2 (formally AutoGen). The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 29eeac3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Ag2 Observers And Alerts loads about 2.5k tokens when it runs. Until then it costs about 162 tokens; SKILL.md has 644 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 found no risky patterns in SKILL.md.
Automated 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 ag2ai/build-with-ag2 at commit 29eeac3, republished under its Apache-2.0 licence (© ag2ai). 644 words, ~2,527 tokens.
.claude/skills/ag2-observers-and-alerts/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.| Shape | When | Use |
|---|---|---|
| Stateless function | One-off event hook (logging, metrics) | @observer(EventType) |
| Stateful class | Counters / windows / thresholds / composed triggers | Subclass BaseObserver |
Both are stream subscribers under the hood — registered on the agent rather than directly on the stream.
@observerfrom autogen.beta import Agent, observer
from autogen.beta.config import OpenAIConfig
from autogen.beta.events import ModelResponse
@observer(ModelResponse)
async def log_response(event: ModelResponse) -> None:
print(f"Model said: {event.content}")
agent = Agent(
"assistant",
config=OpenAIConfig(model="gpt-4o-mini"),
observers=[log_response],
)Or attach after construction with @agent.observer(...). Per-call observers also supported (agent.ask("...", observers=[...])).
Observer callbacks support full dependency injection (Context, Inject, Variable, Depends). Filter by event type, multiple types (ModelRequest | ModelResponse), or field value (ToolCallEvent.name == "search"). Use interrupt=True to modify or suppress events before regular subscribers see them.
from autogen.beta import Agent
from autogen.beta.observer import LoopDetector, TokenMonitor
agent = Agent(
"assistant",
config=config,
observers=[
TokenMonitor(warn_threshold=50_000, alert_threshold=100_000),
LoopDetector(window_size=10, repeat_threshold=3),
],
)TokenMonitor — tracks cumulative tokens across ModelResponse and TaskCompleted. Emits WARNING / CRITICAL ObserverAlerts as thresholds are crossed. Read state via monitor.total_tokens.LoopDetector — sliding window of recent tool calls. Emits a WARNING alert when repeat_threshold consecutive identical calls are seen.BaseObserverA BaseObserver pairs a Watch (when to fire) with a process() method (what to do):
from autogen.beta import Context
from autogen.beta.observer import BaseObserver
from autogen.beta.watch import CadenceWatch
from autogen.beta.events import BaseEvent, ModelResponse
from autogen.beta.events.alert import ObserverAlert, Severity
class AvgCompletionObserver(BaseObserver):
"""Every N responses, emit an INFO alert with avg completion-token count."""
def __init__(self, window: int = 5) -> None:
super().__init__("avg-completion", watch=CadenceWatch(n=window, condition=ModelResponse))
self._window = window
async def process(self, events: list[BaseEvent], ctx: Context) -> ObserverAlert | None:
tokens = [e.usage.completion_tokens for e in events if isinstance(e, ModelResponse) and e.usage]
if not tokens:
return None
return ObserverAlert(
source=self.name,
severity=Severity.INFO,
message=f"Avg completion tokens over last {self._window}: {sum(tokens) / len(tokens):.0f}",
)If process() returns an ObserverAlert, the base class emits it onto the stream. You can also send events manually via await ctx.send(...).
| You need | Use |
|---|---|
| Every matching event | EventWatch(EventType) or just stream.subscribe(fn, condition=...) |
| Every N matching events | CadenceWatch(n=N, condition=EventType) |
| Every T seconds (buffered events) | CadenceWatch(max_wait=T, condition=EventType) |
| Either threshold | CadenceWatch(n=N, max_wait=T, condition=EventType) |
| Once after delay | DelayWatch(seconds) |
| Periodic timer | IntervalWatch(seconds) |
| Cron schedule | CronWatch("0 9 * * MON") |
| All sub-watches must fire | AllOf(w1, w2) |
| Any sub-watch fires | AnyOf(w1, w2) |
| In order | Sequence(w1, w2) |
All importable from autogen.beta.watch. Callback signature is uniform: async def cb(events: list[BaseEvent], ctx: Context) -> None. Time-driven watches pass events=[].
ObserverAlert — the alert typefrom autogen.beta.events.alert import ObserverAlert, Severity
ObserverAlert(
source="my-observer",
severity=Severity.WARNING, # INFO, WARNING, CRITICAL, FATAL
message="What happened",
)Important: ObserverAlert is on the stream and persisted in history, but the default provider mappers do not render it back to the LLM. To make the agent see alerts, add AlertPolicy() to assembly=[...]:
from autogen.beta.policies import AlertPolicy
agent = Agent("assistant", config=config, assembly=[AlertPolicy()])HaltEvent → short-circuitAlertPolicy does two things on Severity.FATAL:
HaltEvent on the stream.When assembly=[...] is non-empty, the harness automatically wires _HaltCheckMiddleware which sees the HaltEvent and short-circuits the next LLM call with a synthetic HALTED: ... response.
from autogen.beta import Context
from autogen.beta.observer import BaseObserver
from autogen.beta.events import BaseEvent, ToolCallEvent
from autogen.beta.events.alert import HaltEvent, ObserverAlert, Severity
from autogen.beta.policies import AlertPolicy
from autogen.beta.watch import EventWatch
class PathGuardian(BaseObserver):
def __init__(self) -> None:
super().__init__("path-guardian", watch=EventWatch(ToolCallEvent))
async def process(self, events: list[BaseEvent], ctx: Context) -> ObserverAlert | None:
for event in events:
if not isinstance(event, ToolCallEvent) or event.name != "write_file":
continue
if "/etc/" in event.arguments or "/usr/" in event.arguments:
return ObserverAlert(
source=self.name,
severity=Severity.FATAL,
message=f"blocked dangerous write: {event.arguments}",
)
return None
agent = Agent(
"safe-shell",
prompt="...",
config=config,
tools=[write_file],
observers=[PathGuardian()],
assembly=[AlertPolicy()], # routes FATAL → HaltEvent
)The first dangerous tool call triggers FATAL → halt; the agent's next ask is short-circuited. Full runnable demo: assets/safety_guard.py.
from autogen.beta import MemoryStream
from autogen.beta.events.alert import HaltEvent, ObserverAlert
stream = MemoryStream()
stream.where(ObserverAlert).subscribe(lambda e: print(f"[{e.severity}] {e.source}: {e.message}"))
stream.where(HaltEvent).subscribe(lambda e: print(f"HALT: {e.reason}"))
await agent.ask("...", stream=stream)| Feature | Observer | Middleware | Stream subscriber |
|---|---|---|---|
| Registered on | Agent | Agent | Stream |
| Lifecycle | Scoped to execution | Scoped to execution | Manual |
| Boilerplate | Function (or BaseObserver) | BaseMiddleware class | Function |
| Can modify events | interrupt=True | Yes (wraps execution) | interrupt=True |
| DI support | Yes | Yes | Yes |
| Use case | Monitoring, metrics, alerts | Cross-cutting (retry, auth, rate limit) | Low-level event wiring |
assets/token_watchdog.py — three observers (TokenMonitor, LoopDetector, custom AlertConsole) on one agent. Mirrors code_examples/04.assets/safety_guard.py — PathGuardian → FATAL → AlertPolicy → HaltEvent → short-circuit. Mirrors code_examples/08.website/docs/beta/advanced/observers.mdx — @observer, BaseObserver, registration, built-ins, ObserverAlert.website/docs/beta/advanced/watches.mdx — every Watch primitive, composition rules.website/docs/beta/advanced/stream.mdx — Stream API, where, subscribe, interrupters, RedisStream.website/docs/beta/advanced/assembly.mdx — AlertPolicy ordering and dedup.ObserverAlert events are on the stream but invisible to the LLM by default. Add AlertPolicy() to assembly=[...].AlertPolicy is what creates HaltEvent. Without assembly=[..., AlertPolicy(), ...] (or any non-empty assembly chain enabling _HaltCheckMiddleware), nothing halts.AlertPolicy() across agents — dedup state lives on the instance. Give each agent its own.events is non-empty — for time-driven watches (DelayWatch, IntervalWatch, CronWatch), events is always [].process() is async — BaseObserver.process must be async def.subscribe(fn) when you wanted subscribe() decorator — both work; the bare-call form is stream.subscribe(fn), the decorator form is @stream.subscribe() (with parens).CadenceWatch with no n and no max_wait — invalid; at least one is required.© ag2ai, Apache-2.0. 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 2 other files (assets) in .agents/skills/ag2-observers-and-alerts of ag2ai/build-with-ag2.
Open the folder on GitHubat commit 29eeac3
Ag2 Observers And Alerts 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 |
|---|---|---|---|---|---|---|
| Ag2 Observers And Alerts this skillag2ai/build-with-ag2 | 252 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| Kubeshark KFL2 Filter Referencekubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 |
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
JuliusBrussee/caveman
Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.
ag2ai/build-with-ag2
Add a custom Python tool to an AG2 beta Agent using the @tool decorator.
ag2ai/build-with-ag2
Intercept the AG2 beta agent loop with BaseMiddleware — wrap full turns (onturn), each LLM call (onllmcall), each tool execution (ontoolexecution), or each human-input request (onhumaninput).
ag2ai/build-with-ag2
Wire AG2 beta's shipped tools into an Agent — both provider-native server-side tools (web search, web fetch, code execution, MCP, image generation, memory) and locally-executed common toolkits…
ag2ai/build-with-ag2
Persist agent state across runs, shape what the LLM sees per turn, and cap history to fit a context window.
ag2ai/build-with-ag2
Build a minimal AG2 beta Agent end to end — pick a model provider, set a prompt, call agent.ask(), then continue the conversation with reply.ask() (multi-turn).
ag2ai/build-with-ag2
Get a typed Python value back from an AG2 beta Agent instead of free text.
Categories
Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions. Ag2 Observers And Alerts is an agent skill from ag2ai/build-with-ag2. Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions.
Ag2 Observers And Alerts fits situations like: the user wants observability; runtime safety guards; batch/time-based reactive logic.
Run `npx skills add ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a claude-code`. Or copy the skill folder (.agents/skills/ag2-observers-and-alerts in ag2ai/build-with-ag2) into .claude/skills/ag2-observers-and-alerts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a codex`. Or copy the skill folder (.agents/skills/ag2-observers-and-alerts in ag2ai/build-with-ag2) into .agents/skills/ag2-observers-and-alerts 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 ag2ai/build-with-ag2 --skill ag2-observers-and-alerts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ag2-observers-and-alerts, .gemini/skills/ag2-observers-and-alerts, .github/skills/ag2-observers-and-alerts and .opencode/skills/ag2-observers-and-alerts in your project.
Going by SKILL.md and its folder, Ag2 Observers And Alerts needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ag2 Observers And Alerts is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 Ag2 Observers And Alerts: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ag2ai (a GitHub organization) maintains it in ag2ai/build-with-ag2, which has 252 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 6, 2026.
Source: ag2ai/build-with-ag2 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.