SKILLEMALL.ai
GitHub ↗ RU Sign in

DC discordbot

List channels, read recent messages, send channel messages, and send a single user-initiated DM on Discord using the user's own bot via the Discord REST API.

AceDataCloud/Skills Agent Skills author: AceDataCloud 2 files · 1 script body ≈ 1 483 tokens Open the sourcegithub.com↗ analyzed 5 h ago

List channels, read recent messages, send channel messages, and send a single user-initiated DM on Discord using the user's own bot via the Discord REST API.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationDiscordSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
D
77/100
safety, quality, tests
Safety 60%
79
Quality 40%
74
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Inputs and preconditions w 11
30
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Exfiltration net-credential-use SKILL.md:57
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bot $DISCORDBOT_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:65
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bot $DISCORDBOT_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:77
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bot $DISCORDBOT_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:91
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bot $DISCORDBOT_TOKEN" \
  • low Exfiltration net-credential-use SKILL.md:19
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    with `curl + jq` using the user's **bot** token in `$DISCORDBOT_TOKEN`. The
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "connections"
  • note frontmatter-key unknown frontmatter key "allowed_tools"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1483 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

  • +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
  • +2Single-language instructions
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (7 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.