SKILLEMALL.ai

AC hybrids3

Self-hosted lightweight object storage speaking three interfaces at once — the S3 API (boto3 / AWS-SDK compatible, AWS Sig V4), a plain HTTP API (curl-friendly, Bearer auth), and MCP (Streamable HTTP tools for agents). Buckets/objects with SQLite metadata and flat-file storage on disk; buckets are config-defined (no create/delete API), each with a public/private flag, a private key + public key pair, optional TTL expiry, and a max upload size. Auth is per-bucket keys plus a cross-bucket master key; presigned GET/PUT URLs for handing out single-object access. Use when the user wants to put/get/list/delete files in a self-hosted S3-compatible store, generate presigned upload/download links, drive their own boto3-compatible object storage, or connect an agent to object storage over MCP.

ClawHub Agent Skills author: Ciprian Mandache v0.3.8 MIT-0 4 files · 1 script body ≈ 5 156 tokens Open the sourceclawhub.ai analyzed 2 d ago

Self-hosted lightweight object storage speaking three interfaces at once — the S3 API (boto3 / AWS-SDK compatible, AWS Sig V4), a plain HTTP API…

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAWSAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5156 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 64/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5156 tokens
  • 85Steps. 18 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 794: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
The skill is a clearly documented client/helper for a user-run object-storage service, with important exposure and deletion risks disclosed rather than hidden.
LLM: benign (high) · VirusTotal: · 1 Aug 2026