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Aggregates and curates security news from six authoritative sources into a ranked, deduplicated digest across Security News, Research, and Ideas, with stateful tracking to avoid re-surfacing seen items. USE WHEN security news, security updates, breaches, sec updates, tldrsec, Krebs, Schneier, weekly security digest, CISO strategy. NOT FOR stack-specific CVE prioritization against your own tech stack (use your own vulnerability-management tooling), or AI industry news (Upgrade NewsDigest).

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 6 files · 1 script body ≈ 853 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Aggregates and curates security news from six authoritative sources into a ranked, deduplicated digest across Security News, Research, and Ideas, with…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureSecuritytype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 Risky intent intent-offensive-security Intents/Update.md:11
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - The digest is categorized: every item sorts into 🔴 News (breaches and leaks, ransomware, state-sponsored and other active attacks, major vulnerability exploitations, company security incidents), 🔬

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 63/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 853 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 493: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.