BD chatbotx
ChatbotX is an open-source chat marketing platform for managing contacts, conversations, flows, broadcasts, and sequences across WhatsApp, Messenger, Instagram, TikTok, Telegram, Zalo OA, Email, and Webchat. An alternative to ManyChat, Chatfuel, Wati, Respond, etc...
ChatbotX is an open-source chat marketing platform for managing contacts, conversations, flows, broadcasts, and sequences across WhatsApp, Messenger…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
✓ No critical or high findings
Medium and low: 3
-
low Secrets in code
secret-high-entropy-tokendist/index.cjs:4High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)`),n=n.replace(/\\r/g,`\r`)),t[e]=n}return t}function p(e){e||={};let t=y(e);e.path=t;let n=x.configDotenv(e);if(!n.parsed){let e=Error(`MISSING_DATA: Cannot parse ${t} for an unknown reason`);throw edetector -
low Secrets in code
secret-high-entropy-tokendist/index.mjs:4High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)`),n=n.replace(/\\r/g,`\r`)),t[e]=n}return t}function p(e){e||={};let t=ee(e);e.path=t;let n=x.configDotenv(e);if(!n.parsed){let e=Error(`MISSING_DATA: Cannot parse ${t} for an unknown reason`);throwdetector -
low Exfiltration
read-dotenvREADME.md:270Reads a .env filecp .env.example .env
Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "emoji" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 43/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2195 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 267: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (19 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.