BC sec-daily-digest
Use when asked to generate a cybersecurity daily digest from CyberSecurityRSS OPML feeds and Twitter/X KOL accounts, with provider selection, recent-window filtering, archive dedup, vulnerability merging, source health monitoring, and markdown output.
As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Exfiltration
exfil-secret-in-urlsrc/ai/providers/gemini.ts:10Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)const endpoint = `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=…placeholder
Files scanned: 43. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 13, column 24: TWITTER_API_BACKEND: "twitterapiio|official|auto" (default: auto) ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 33 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1764 tokens
- 100Progress reporting. Reports progress
- low 15 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 251: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (5 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This is a disclosed cybersecurity digest tool whose internet fetching, AI-provider use, local history, and optional email delivery fit its stated purpose.
LLM: benign (high) · VirusTotal: benign · 28 May 2026