FD universal-autostart
Cross-platform auto-start service manager for Windows and macOS. Supports installing, uninstalling, starting, stopping, and monitoring services with automatic restart. Use when you need to set up persistent background services that survive system reboots on Windows (sc/schtasks) or macOS (launchd).
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
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.
- 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 · 7
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critical Secrets in code
secret-openai-keypublish_textonly.py:13OpenAI-style API key (quoted — discussed, not commanded)SKILLHUB_API_KEY = "sk-s…etC"
quoted
Medium and low: 6
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medium Dangerous commands
cmd-privilegeREADME.md:411Privilege escalation / world-writable permissionssudo python universal_service.py install my_config.json
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medium Dangerous commands
cmd-persistenceuniversal_service.py:301Persistence mechanism (cron / launchd / scheduled task / autorun registry) (code comment)# 系统级：/Library/LaunchDaemons/
comment -
medium Dangerous commands
cmd-persistenceuniversal_service.py:302Persistence mechanism (cron / launchd / scheduled task / autorun registry) (code comment)# 用户级：~/Library/LaunchAgents/
comment -
medium Dangerous commands
cmd-persistenceuniversal_service.py:303Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)plist_dir = Path(f"/Users/{username}/Library/LaunchAgents/")code literal -
medium Dangerous commands
cmd-persistenceuniversal_service.py:399Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)plist_path = Path(f"/Users/{username}/Library/LaunchAgents/{service_name}.plist")code literal -
low Secrets in code
secret-high-entropy-tokenpublish_textonly.py:13High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)SKILLHUB_API_KEY = "sk-s…etC"
quoted
Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 48/100
- 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
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1850 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 12 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)
- +3Output format is not stated: the model decides each time
- -221 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 299: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (18 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.