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AF cargo-storage

Work with the data inside a Cargo workspace — models (Companies, Contacts, Deals…), datasets, columns, relationships, records, and SQL over workspace storage. Triggers: "what models do I have", "show me the schema", "add a column for", "how many contacts do I have", "SELECT … FROM", "query my companies table", "join contacts to companies", "what is the DDL", "set up a webhook-fed model", "where does this field live", "import this into a model", "unify these models", "merge duplicate accounts", "link contacts to companies", "set up a relationship between". Skip when: querying run or batch telemetry rather than business data — use cargo-orchestration; naming a reusable filtered audience — use cargo-segmentation.

ClawHub Agent Skills author: Cargo v1.2.2 MIT-0 10 files body ≈ 3 323 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Work with the data inside a Cargo workspace — models (Companies, Contacts, Deals…), datasets, columns, relationships, records, and SQL over workspace storage.

As a process F 32/100 · Will not run — References files that are not bundled: ../cargo/references/prerequisites.md, ../cargo/references/interaction.md, ../cargo-diagnostics/SKILL.md

IntegrationData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
77
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: ../cargo/references/prerequisites.md, ../cargo/references/interaction.md, ../cargo-diagnostics/SKILL.md
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use references/examples/ingest-webhook.md:91
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -X POST "$BASE/v1/models/$MODEL_UUID/records/ingest?token=$TOKEN" \
    fixture
  • low Exfiltration net-credential-use references/examples/ingest-webhook.md:96
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -X POST "$BASE/v1/models/$MODEL_UUID/records/ingest?token=$TOKEN" \
    fixture

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../cargo/references/prerequisites.md
  • warning missing-ref reference to a missing file: ../cargo/references/interaction.md
  • warning missing-ref reference to a missing file: ../cargo-diagnostics/SKILL.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: ../cargo/references/prerequisites.md, ../cargo/references/interaction.md, ../cargo-diagnostics/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../cargo/references/prerequisites.md, ../cargo/references/interaction.md, ../cargo-diagnostics/SKILL.md
  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3323 tokens
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (12 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 15 example trigger phrases
  • +3Description length 719: enough signal without eating the budget
  • +4Structure: 14 headings
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: suspicious
This appears to be a real Cargo storage-management skill, but it needs Review because it can expose workspace API tokens and perform high-impact data changes.
LLM: suspicious (high) · 1 Sept 2026