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BC eve-esi

Query and manage EVE Online characters via the ESI (EVE Swagger Interface) REST API. Performs OAuth2/PKCE browser login and stores plus auto-refreshes long-lived OAuth tokens locally in ~/.openclaw/eve-tokens.json. Read-only by default and can reach any ESI endpoint, including non-character public data; state-changing writes (mail, fittings, market orders, planetary interaction) happen only when explicitly invoked with --allow-write. Use when the user asks about EVE Online character data, wallet balance, ISK transactions, assets, skill queue, skill points, clone locations, implants, fittings, contracts, market orders, mail, industry jobs, killmails, planetary interaction, loyalty points, or any other EVE account management task.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: cnc_x_ai v1.3.3 MIT-0 16 files body ≈ 5 144 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationInfrastructuretype 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
B
76/100
safety, quality, tests
Safety 60%
80
Quality 40%
70
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. 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 · 3

  • high Concealment en-hide-from-user SKILL.md:345
    Instruction to hide actions from the user
    and no notification sender in this skill. Do not tell the user their alerts are
Medium and low: 2
  • low Dangerous commands cmd-background-process README.md:376
    Starts a background / autostarted process
    sudo systemctl enable redis-server
  • low Exfiltration net-credential-use SKILL.md:133
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    - Avoid `--token "$TOKEN"` and `curl -H "Authorization: Bearer $TOKEN"`: command
    detector

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5144 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "type"
  • note frontmatter-key unknown frontmatter key "includes"
  • note frontmatter-key unknown frontmatter key "auth"
  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 10 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5144 tokens
  • 100Steps. 25 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 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
  • -32 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 738: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: clean
This skill is a disclosed EVE Online API helper that handles sensitive OAuth tokens locally and requires explicit user action for authentication and writes.
LLM: benign (high) · VirusTotal: · 10 Sept 2026