BC stockvaluation-io
Set up, run, compare, and debug StockValuation.io, a local-first DCF valuation platform, including Docker startup, ticker valuations, LLM provider changes, prompt dumping, and troubleshooting.
As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
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
- 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 · 4
✓ No critical or high findings
Medium and low: 4
-
medium Dangerous commands
cmd-pipe-to-shellreferences/setup-and-run.md:30Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)Do not recommend `curl | bash` as the default path.
quoted -
medium Dangerous commands
cmd-pipe-to-shellreferences/troubleshooting.md:93Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)- Avoid switching back to a remote `curl | bash` flow
quoted -
medium Dangerous commands
cmd-pipe-to-shellSKILL.md:51Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)- If the user wants the installer, tell them to download or inspect `install.sh` locally before running it instead of recommending `curl | bash`.
quoted -
low Exfiltration
read-dotenvreferences/setup-and-run.md:10Reads a .env filecp .env.example .env
Files scanned: 5. 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 "homepage"
Process rating: all ten parameters 55/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 558 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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 192: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 20 items
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.