SKILLEMALL.ai

BB ceph-aiops

Use this skill whenever the user needs to operate or diagnose a Ceph cluster via its ceph-mgr Dashboard REST API — decode a HEALTH_WARN/ERR state into cause + action (cluster_health), read the cluster status, inspect OSDs (tree/df/perf), placement groups (summary/stuck/scrub), pools (list/usable capacity), RBD images and snapshots, CephFS/MDS and RGW status, monitors/managers, slow ops and capacity forecast — plus governed writes (set cluster flags, reweight/mark-in/mark-out/purge OSDs, trigger scrubs, set pool quota/pg_num/autoscale/size, create/delete pools, create/delete RBD images and snapshots, throttle recovery/backfill). Always use this skill for "ceph health", "what does this HEALTH_WARN mean", "PG_DEGRADED / OSD_NEARFULL / SLOW_OPS / MON_DOWN", "ceph -s", "which OSD is most full", "drain an OSD", "purge an OSD", "stuck PGs", "overdue scrub", "pool usable capacity", "set pool size / quota", "rebalance is too slow / throttle backfill", "RBD image or snapshot", "MDS behind on trimming", "RGW large omap", "mon quorum", or "days to nearfull" when the context is a Ceph cluster (cephadm, hypervisor-bundled Ceph, or MicroCeph). Do NOT use when the target is not Ceph — a hypervisor, a different storage appliance, a backup product, a Kubernetes cluster, or a network device. Route those to the appropriate other AIops-tools skill (negative routing hint only). Common Ceph ops with a built-in governance harness (audit, policy, token budget, undo, risk-tiers).

ClawHub Claude Code author: wei zhou v0.11.0 MIT-0 6 files body ≈ 2 347 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use this skill whenever the user needs to operate or diagnose a Ceph cluster via its ceph-mgr Dashboard REST API — decode a HEALTHWARN/ERR state into cause +…

As a process B 71/100 · Nearly there — weak spots: result and completion, inputs and preconditions

AnalyzerKubernetesAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
55
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1479 chars, limit 1024
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "installer"

Process rating: all ten parameters 71/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 55Failures and branches. 1 branches
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 37 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2347 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +3Description length 1478: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 17 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill is openly designed for Ceph administration, but it exposes destructive cluster operations through MCP without a built-in approval or read-only gate.
LLM: suspicious (high) · 12 Sept 2026