Agent skill

Prometheus Strict

by yangyuan-zhen in yangyuan-zhen/PolyWeather

[OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team.

AGPL-3.0Auto-check passedDevOps & Cloud

Install Prometheus Strict

skills CLI
$ npx skills add yangyuan-zhen/PolyWeather --skill prometheus-strict -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yangyuan-zhen/PolyWeather prometheus-strict --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/prometheus-strict .claude/skills/prometheus-strict && rm -rf skills-src

Use ~/.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/

Facts

Skill name
prometheus-strict
GitHub stars
316
Token cost
~4.6k tokens
SKILL.md length
2,292 words
Files
2
Skills in repo
26
Repo updated
First seen
Licence
AGPL-3.0

At a glance

[OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team.

  • Works in 6 steps: Intake and Safety Bounds → Metis Interview (Iterative, Checklist… → Momus Challenge (Bounded Retry) → …
  • Tasks that involve Monitoring and alerting
  • SKILL.md covers State Management, Output Contract and Failure and Escalation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prometheus Strict is an agent skill from yangyuan-zhen/PolyWeather. [OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in DevOps & Cloud, covering Monitoring and alerting. It works with Prometheus. The repository describes itself as: polymarket Intelligent Weather Quant Analysis Bot. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Monitoring and alerting

Example prompts

  • “/prometheus-strict”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Intake and Safety Bounds
  2. Metis Interview (Iterative, Checklist Clearance)
  3. Momus Challenge (Bounded Retry)
  4. Oracle Synthesis (Two-Pass: Synthesis + Self-Verification)
  5. Post-Plan Gap Check (Metis Re-Invocation)
  6. Handoff

What it can do on your machine

Read from SKILL.md and the folder at commit 43e658b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prometheus Strict loads about 4.6k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 2,292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from yangyuan-zhen/PolyWeather at commit 43e658b, republished under its AGPL-3.0 licence (© yangyuan-zhen). 2,292 words, ~4,637 tokens.

Download SKILL.mdSave it as .claude/skills/prometheus-strict/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
prometheus-strict
description
[OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team.
argument-hint
<goal or problem statement>

Prometheus Strict

Clean-room OMX planning workflow inspired by the high-level OMO Prometheus concept only. This skill does not copy implementation, prompts, wording, control flow, or runtime code from OMO. It reimplements the idea under this repository's MIT-licensed skill conventions.

Credit: Inspired by OMO Prometheus (code-yeongyu/oh-my-openagent), reimplemented from concept under MIT.

<Purpose>
Prometheus Strict creates a rigorous plan before execution when ambiguity is still risky. It separates three planning voices: Metis clarifies requirements, Momus challenges assumptions and validation gaps, and Oracle synthesizes the handoff-ready OMX-native plan.

The output is a planning-only artifact for $ultragoal and, when independent lanes are justified, $team. When a durable artifact is useful, store or request the final plan under .omx/plans/prometheus-strict/. </Purpose>

<Use_When>

  • The task is important enough that a shallow plan could produce wrong work.
  • Requirements are partially known but acceptance criteria, boundaries, risks, or validation are incomplete.
  • The user wants a strict interview before execution.
  • A future $ultragoal story needs durable scope, tests, and handoff sequencing.
  • A team split may be needed, but the lanes are not yet safe to assign. </Use_When>

<Do_Not_Use_When>

  • The user asks for immediate implementation of a clear, low-risk change; use the normal executor path.
  • The task is only a repository lookup or explanation; use explore/analyze as appropriate.
  • The user needs adversarial execution QA after code changes; use $ultraqa.
  • The user wants hook behavior, Sisyphus behavior, or a start-work port. Those are explicit non-goals. </Do_Not_Use_When>

<Why_This_Exists> OMX already has $plan, $ralplan, and $deep-interview. Prometheus Strict exists for a narrower case: an explicit clean-room strict-planning lane with named clarification, critique, and synthesis roles, plus a durable .omx/plans/prometheus-strict/ handoff contract. It is not a replacement for execution workflows. </Why_This_Exists>

<Execution_Policy>

  • Stay planning-only. Do not edit source code during this skill unless the user starts a separate execution workflow afterward.
  • Preserve clean-room boundaries. Do not copy or imitate OMO wording, source, prompts, runtime behavior, or control flow.
  • Keep non-goals visible: No hook implementation. No Sisyphus/start-work port. No automatic external-production actions.
  • Ask high-leverage questions as a batched round when the answers materially change scope, safety, or validation. Reserve one-at-a-time questioning only for dependent question chains where the next question depends on the previous answer.
  • If a safe assumption is available, state it and continue.
  • Use repository reads when needed to make paths, tests, and handoff commands concrete.
  • During Metis planning, run pre-question research fan-out for every non-trivial intent unless the task is trivial, the cited spec is self-contained, or cached evidence already covers the same surface; use explore for repo facts and the exact cheap gpt-5.6-terra researcher lane for external docs / OSS references before asking the user. Prometheus Strict may fan out up to 2 explore + 4 researcher agents per round so breadth comes from more citation-focused mini researchers while Metis/Momus/Oracle keep stronger judgment roles.
  • Recommend $team only when Oracle identifies independent, bounded, verifiable lanes.
Structured Question Surface

Every Metis/Momus/Oracle question to the user MUST go through the surface-appropriate structured question path. Plain prose questioning is the last fallback, not the default.

  • In attached-tmux OMX runtime, use omx question as the OMX-owned structured question surface (this is the AskUserQuestion equivalent for Prometheus Strict). From attached-tmux Bash/tool paths, prefix the command with OMX_QUESTION_RETURN_PANE=$TMUX_PANE (or a concrete %pane value) so the leader-pane return target is preserved.
  • Batch independent high-leverage questions into a single questions[] array call: scope, constraints, non-goals, deliverables, safety bounds, and acceptance criteria are normally independent and MUST be batched into one structured form so the user answers them in a single panel. Reserve one-at-a-time only for dependent question chains where the next question depends on the previous answer.
  • Wait for the omx question JSON answer before checking the clearance rule, asking another round, or handing off; prefer answers[] / answers[i].answer, and use the legacy top-level answer only as a compatibility fallback. After every answers[] batch, run at least two gap-fill passes before another question or handoff: Pass 1 assimilates user answers into the checklist; Pass 2 re-scans repo context, prior turns, research fan-out evidence, and conservative defaults to absorb non-CRITICAL residual gaps.
  • Minimum two emitted question rounds: when Metis emits any user-facing question round, do not hand off after Round 1 unless hostility/<turn_aborted> or the round-5 cap forces exit; handoff is allowed only after Round 2 has been emitted and processed. Zero-question complete-checklist handoff remains valid when no questions were emitted.
  • Between-round planning must actively use evidence: after Round 1 answers and the two gap-fill passes, refresh or reuse <research_fan_out> explore/researcher evidence, re-run spec prefill, and build Round 2 from residual CRITICAL gaps only.
  • Outside tmux, use the native structured input tool when one is available.
  • When neither structured surface can render (non-tmux Codex CLI, piped runs, CI), list the round's independent questions as a numbered prose block (Q1: ... Q2: ... Q3: ...) and wait for all answers in one user turn; do not split into separate round-trips.
  • Multiple interview rounds ARE expected when clearance is not yet reached; each round is one batched form (or its prose fallback), never split across forms.
Checklist Clearance

The interview is governed by deterministic checklist clearance, not by subjective "feels enough" judgement. Exit the Metis interview loop when the 6-item checklist is fully YES: objective / scope IN+OUT / acceptance / test strategy / handoff target / no outstanding CRITICAL. Each item is evaluated with the tri-state defined in <Turn_Termination_Rules>.

Cap interview rounds at 5 to prevent runaway. If checklist clearance is not reached by round 5, hand the remaining UNKNOWN items to Oracle as explicitly carried-forward <unresolved_blocker> entries.

Hostility / non-answer exit: if the user's responses for a round contain refusal signals (1-2 character non-answers, dismissive 알아서 / "you decide" / "whatever" patterns, profanity-laden responses, or a <turn_aborted> on the prior turn), the round invalidates the answers — it does NOT advance any checklist item to YES, exits the interview loop immediately, and routes the unresolved gaps either to <silent_absorption> (for dismissive delegation) or back to the user via hostility_exit (for anger / aborted turns). See prometheus-strict-metis <hostility_detection> for the full pattern list and routing rules. </Execution_Policy>

<Turn_Termination_Rules> Every Prometheus Strict turn ends with EXACTLY ONE of the following terminations. Bare summaries and "I think we're done" are forbidden.

The 6-item checklist is: objective / scope IN+OUT / acceptance / test strategy / handoff target / no outstanding CRITICAL. A checklist item is YES when it is USER_ANSWERED ∪ ABSORBED_WITH_CITATION ∪ INFERRED_FROM_SPEC. Only UNKNOWN (no answer, no citation, no spec inference) counts as NO.

  • (a) omx question batch: use when at least one CRITICAL question survives <gap_triage> and <self_review>. The batch is the round; the turn waits for answers[] before continuing.
  • (b) explicit handoff: use when the 6-item checklist is fully YES. Hand off Metis → Momus after clearance, Momus → Oracle after critique, and Oracle → user or <unresolved_blocker> carry-forward after Pass 2 synthesis.
  • (c) stop-blocker: use when hostility/<turn_aborted> is detected via <hostility_detection> with subtype hostility_exit, or when the next action is destructive, credential-gated, external-production, and cannot be defaulted safely.

Edge cases:

  1. Zero-questions-but-complete-checklist → option (b) explicit handoff. Do not emit an empty omx question form.
  2. Round-5-cap with incomplete checklist → option (a) emit one more question batch with surviving UNKNOWN items annotated, OR option (b) handoff with UNKNOWN items carried forward to Oracle as <unresolved_blocker> entries.
  3. Hostility/<turn_aborted> → option (c) for anger, profanity, or aborted-turn via hostility_exit; option (b) for dismissive-delegation (알아서 / "you decide") with absorbed gaps annotated. </Turn_Termination_Rules>
<Steps>
### 1. Intake and Safety Bounds

Restate the target result, known constraints, deliverables, validation expectations, and stop condition. Identify whether this turn is planning-only or whether the user also requested downstream execution.

If the prompt contains destructive, credential-gated, external-production, or materially scope-changing decisions, hold those decisions for explicit user confirmation. Otherwise, continue through the planning loop.

Show full SKILL.md (1,034 more words)Show less
2. Metis Interview (Iterative, Checklist Clearance)

Use prometheus-strict-metis as the interview voice. When native subagents are available, invoke the dedicated agent; otherwise run the same role in-context without editing files.

Metis discovers success criteria, non-goals, evidence versus assumptions, required artifacts, likely execution lanes, and missing decisions. Before the first user-facing question batch, Metis must actively fan out repo/external research per intent: explore maps local surfaces and exact gpt-5.6-terra researcher lanes gather official/upstream or OSS-reference evidence. Research-heavy intents use more cheap researchers rather than downgrading Metis/Momus/Oracle judgment.

Run the interview as a bounded loop:

  1. Identify every currently-UNKNOWN checklist item and every CRITICAL question whose answers would materially change scope, safety, or validation.
  2. Batch the round's independent questions into a single Structured Question Surface call (questions[] array, or numbered prose fallback outside tmux).
  3. Collect the structured answers[], then run Gap-fill Pass 1 — answer assimilation: update evidence vs. assumption and mark checklist items YES only when USER_ANSWERED, ABSORBED_WITH_CITATION, or INFERRED_FROM_SPEC.
  4. Run Gap-fill Pass 2 — residual adversarial scan: re-check every remaining UNKNOWN against repo context, prior turns, research fan-out evidence, framework/industry defaults, and conservative reversible defaults; absorb non-CRITICAL gaps with citations/assumptions and leave only CRITICAL blockers.
  5. Run between-round planning after Round 1: refresh or reuse <research_fan_out> explore/researcher evidence, re-run spec prefill, and prepare Round 2 from residual CRITICAL gaps only.
  6. Evaluate the 6-item checklist (<Turn_Termination_Rules> tri-state) only after BOTH gap-fill passes and the minimum two emitted question rounds gate; exit when ALL YES and either no questions were emitted or Round 2 has been emitted and processed.
  7. If checklist clearance is not reached, or only Round 1 has been processed, return to step 1 with the next round. Cap at 5 rounds; on cap, carry remaining UNKNOWN items forward to Oracle as explicit <unresolved_blocker> entries.
3. Momus Challenge (Bounded Retry)

Use prometheus-strict-momus as the adversarial critique voice. When native subagents are available, invoke the dedicated agent; otherwise run the same role in-context without editing files.

Momus challenges underspecified acceptance criteria, unsafe assumptions, hidden destructive steps, overbroad scope, missing verification, ownership conflicts, and $ultragoal/$team handoff ambiguity.

Bounded retry contract: after Oracle synthesizes in §4, re-invoke Momus on the synthesized plan to verify that Oracle's resolutions did not introduce new risks (scope addition without matching verification, lane split that creates dependency cycles, safety reinforcement that contradicts stop conditions). Repeat the Momus → Oracle re-synthesis cycle up to 3 times total. If blocking objections remain after the 3rd cycle, mark them as carried-forward in the final plan and proceed to §5.

4. Oracle Synthesis (Two-Pass: Synthesis + Self-Verification)

Use prometheus-strict-oracle as the synthesis voice. When native subagents are available, invoke the dedicated agent; otherwise run the same role in-context without editing files.

Pass 1 — Synthesis. Oracle produces the final objective, scope and non-goals, accepted assumptions, resolved critique, sequenced steps or lanes, verification matrix, rollback/escalation conditions, and recommended OMX handoff.

Pass 2 — Self-Verification (machine-checkable acceptance contract). Oracle re-reads its own Pass 1 output and asserts:

  • Every claim in the verification matrix has an explicit evidence source (test/build/lint/e2e/doc).
  • Every step lists its owner / lane / executor; no shared-file conflicts between parallel lanes.
  • Stop, rollback, and acceptance criteria are mutually consistent (no acceptance criterion is satisfied by a state that also triggers rollback).
  • No destructive, credential-gated, or external-production step is unauthorized.
  • The handoff command is concrete (callable verbatim) and points at an existing workflow ($ultragoal, $team, or none).
  • Clean-room credit is preserved.

If any Pass 2 check fails, Oracle MUST loop back to Pass 1 to repair before emitting the plan. Cap Pass 1 ↔ Pass 2 cycles at 3; on cycle 3 failure, emit the plan with the failing gates annotated as carried-forward and escalate to the user.

5. Post-Plan Gap Check (Metis Re-Invocation)

Before handing off, re-invoke prometheus-strict-metis on the finalized Oracle plan with a single charge: identify ambiguities that surfaced only after the plan was rendered — for example, new lane assignments that overlap, verification matrix gaps revealed by stop conditions, acceptance criteria that contradict the rollback contract.

If post-plan Metis surfaces any blocking gap, return to §4 Pass 1 with the new question. Otherwise proceed to §6.

6. Handoff

Prometheus Strict stops with a plan unless the user explicitly invokes or authorizes the next workflow. Prefer this sequence:

text
$ultragoal "<Oracle plan summary or .omx/plans/prometheus-strict/<slug>.md>"
$team <N>:executor "execute the approved Ultragoal story in parallel lanes"  # only when warranted
</Steps>

<Tool_Usage>

  • Use read-only repository inspection to verify referenced files, commands, and existing conventions.
  • Treat Metis research fan-out as part of planning, not execution: dispatch explore / exact gpt-5.6-terra researcher evidence-gathering before question generation for non-trivial intents, then re-prefill and ask only surviving CRITICAL gaps.
  • Use prometheus-strict-metis, prometheus-strict-momus, and prometheus-strict-oracle sequentially; do not fan out implementation work from this skill.
  • Use $ultragoal only as the recommended execution handoff after the plan is ready.
  • Use $team only when parallel lanes are independent and verifiable. </Tool_Usage>

State Management

Prometheus Strict does not own a long-running runtime loop. If a durable planning artifact is needed, write the final plan to .omx/plans/prometheus-strict/<slug>.md. Draft-only or inline plans may set the artifact path to N/A - inline plan only.

Do not create hook state, Sisyphus state, or start-work compatibility state for this skill.

<Final_Checklist>

  • Target result is explicit.
  • Scope and non-goals are explicit.
  • Acceptance criteria are measurable.
  • Metis interview loop reached checklist clearance only after the mandatory two gap-fill passes following every answers[] batch and, if any question round was emitted, after the minimum two emitted question rounds gate; otherwise the 5-round cap was reached with UNKNOWN items carried forward as <unresolved_blocker> entries.
  • Momus objections are resolved or carried forward as explicit blockers, with at most 3 Momus → Oracle re-synthesis cycles consumed.
  • Oracle plan includes a verification matrix.
  • Oracle Pass 2 self-verification completed; every machine-checkable contract item passes or is annotated as carried-forward.
  • Post-plan Metis gap check produced no blocking objections (or all are carried forward).
  • Handoff recommends $ultragoal and $team only when warranted.
  • Clean-room credit is preserved.
  • No hook implementation or Sisyphus/start-work port was introduced. </Final_Checklist>
<Advanced>
## Output Contract

If writing a durable plan file, store this markdown at .omx/plans/prometheus-strict/<slug>.md and reference that path in the handoff.

markdown
## Prometheus Strict Plan

### Target Result
- <one-sentence objective>

### Clarified Requirements (Metis)
- <requirement / acceptance criterion>

### Critique Resolved (Momus)
- <risk or objection> -> <resolution>

### Oracle Execution Plan
1. <sequenced step or lane>

### Verification Matrix
| Claim | Required evidence | Owner/lane |
| --- | --- | --- |
| <claim> | <test/build/lint/e2e/doc evidence> | <owner> |

### Artifact
- Durable plan path: `.omx/plans/prometheus-strict/<slug>.md` or `N/A - inline plan only`

### Handoff
- Recommended next workflow: <$ultragoal / $team / direct execution / none>
- Stop condition: <what proves the plan is ready or why it is blocked>

### Clean-Room Credit
Inspired by OMO Prometheus (`code-yeongyu/oh-my-openagent`), reimplemented from concept under MIT.

Failure and Escalation

Escalate instead of planning when a necessary answer cannot be inferred safely, the next step is destructive or credential-gated, required repository context is unavailable, or the user asks for behavior outside the non-goals. </Advanced>

Original task: {{PROMPT}}

© yangyuan-zhen, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .codex/skills/prometheus-strict of yangyuan-zhen/PolyWeather.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 43e658b

Compare with similar skills

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Happy Infra Metrics and Grafanaslopus/happy24k—~2kAutomated safety check: NotesMIT
Syncmetapawurb/hotpath-rs1.9k—~1.2kAutomated safety check: NotesMIT
WizTelemetry Platform Servicekubesphere/kubesphere17k—~1.8kAutomated safety check: PassCustom licence
Collectors Prometheus Profilesnetdata/netdata81k—~4.7kAutomated safety check: PassGPL-3.0

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Works with

Categories

Questions about Prometheus Strict

What does Prometheus Strict do?

[OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team. Prometheus Strict is an agent skill from yangyuan-zhen/PolyWeather. [OMX] Clean-room interview-driven planner: Metis clarifies, Momus challenges, Oracle synthesizes, then hands off to $ultragoal/$team.

When should I use Prometheus Strict?

Prometheus Strict fits situations like: tasks that involve Monitoring and alerting.

How do I install Prometheus Strict in Claude Code?

Run `npx skills add yangyuan-zhen/PolyWeather --skill prometheus-strict -a claude-code`. Or copy the skill folder (.codex/skills/prometheus-strict in yangyuan-zhen/PolyWeather) into .claude/skills/prometheus-strict in your project. Claude Code loads it when a task matches its description.

How do I install Prometheus Strict in Codex?

Run `npx skills add yangyuan-zhen/PolyWeather --skill prometheus-strict -a codex`. Or copy the skill folder (.codex/skills/prometheus-strict in yangyuan-zhen/PolyWeather) into .agents/skills/prometheus-strict in your project. Codex loads it when a task matches its description.

Can I use Prometheus Strict in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yangyuan-zhen/PolyWeather --skill prometheus-strict -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prometheus-strict, .gemini/skills/prometheus-strict, .github/skills/prometheus-strict and .opencode/skills/prometheus-strict in your project.

What does Prometheus Strict need to run?

SKILL.md names no scripts, command-line tools or credentials: Prometheus Strict is instructions for the agent only.

Does Prometheus Strict access the network?

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.

Is Prometheus Strict safe to install?

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.

What licence does Prometheus Strict use?

Prometheus Strict is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prometheus Strict use?

About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prometheus Strict?

Skills that share tags, products or a category with Prometheus Strict: KubeEye Cluster Inspection (kubesphere/kubesphere, 17k stars), Happy Infra Metrics and Grafana (slopus/happy, 24k stars), Syncmeta (pawurb/hotpath-rs, 1.9k stars) and WizTelemetry Platform Service (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prometheus Strict?

yangyuan-zhen (a GitHub user) maintains it in yangyuan-zhen/PolyWeather, which has 316 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 20, 2026.

Source: yangyuan-zhen/PolyWeather on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.