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CC perfexcrm-api

Manage PerfexCRM from any messaging app. Full CRUD for customers, invoices, leads, tickets, projects, contracts, and 13 more resources (170 API endpoints). Check overdue invoices, create leads, reply to tickets, track project progress — all through natural conversation on WhatsApp, Telegram, Slack, or Discord.

ClawHub Agent Skills author: Konstantinos Malakontas v1.0.0 MIT-0 2 files body ≈ 1 961 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

IntegrationSlackDiscordTelegramWhatsAppFinanceInfrastructuretype 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
C
74/100
safety, quality, tests
Safety 60%
75
Quality 40%
73
Run on models
none yet
Process rating
C
55/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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:78
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-API-KEY: $PERFEXCRM_API_KEY" "$PERFEXCRM_API_URL/customers"
  • medium Exfiltration net-credential-use SKILL.md:83
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-API-KEY: $PERFEXCRM_API_KEY" "$PERFEXCRM_API_URL/customers?search=acme"
  • medium Exfiltration net-credential-use SKILL.md:88
    Credential used in a network call (verify the destination is the intended service)
    curl -s -X POST -H "X-API-KEY: $PERFEXCRM_API_KEY" -H "Content-Type: application/json" \
  • medium Exfiltration net-credential-use SKILL.md:95
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-API-KEY: $PERFEXCRM_API_KEY" "$PERFEXCRM_API_URL/customers/123"
  • medium Exfiltration net-credential-use SKILL.md:100
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-API-KEY: $PERFEXCRM_API_KEY" "$PERFEXCRM_API_URL/customers/123/invoices"

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")

Process rating: all ten parameters 55/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 19 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1961 tokens
  • low 11 top-level sections: this looks like several domains in one skill

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)
  • -288 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 311: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 19 items
  • +3Output format is stated explicitly
  • +4Has examples (23 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This appears to be a legitimate PerfexCRM integration, but it gives an agent broad power to read and change sensitive CRM and financial records with limited guardrails.
LLM: suspicious (high) · VirusTotal: · 29 May 2026