FF Echo Sales AI
name: echo-sales-ai description: A comprehensive AI sales assistant that integrates with your email to classify leads, interpret feedback, generate quotes, and manage your entire sales pipeline for...
name: echo-sales-ai description: A comprehensive AI sales assistant that integrates with your email to classify leads, interpret feedback, generate quotes…
As a process F 28/100 · Will not run — References files that are not bundled: references/agents.md, references/pricing_rules.md, references/crm_schema.md
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.
The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.
The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.
How to improve
- Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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
-
critical Secrets in code
secret-telegram-botecho-skill/config.yaml:4Telegram bot tokentelegram_token: 8117…AFF…
-
critical Secrets in code
secret-openai-keyecho-skill/config.yaml:6OpenAI-style API key (quoted — discussed, not commanded)openai_api_key: "sk-p…2EA" # <-- ADD THIS LI
quoted
Medium and low: 1
-
low Obfuscation
obf-base64-blobecho-skill/config.yaml:6Long base64-looking blob (quoted — discussed, not commanded)openai_api_key: "sk-p…2EA" # <-- ADD THIS LI
quoted
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/agents.md - warning
missing-refreference to a missing file: references/pricing_rules.md - warning
missing-refreference to a missing file: references/crm_schema.md - warning
missing-refreference to a missing file: scripts/echo-skill/
Process rating: all ten parameters 28/100
- 0Tools and files. 4 referenced file(s) missing: references/agents.md, references/pricing_rules.md, references/crm_schema.md
- 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. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (Echo Sales AI) differs from the folder (echo-sales-ai)
- 100Steps. 29 steps
- 100Execution cost. Instruction body is 907 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 200: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 29 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.