SKILLEMALL.ai

BD monitor-tom-doerr

Monitor Tom Doerr's X.com profile for new posts and share on Telegram/Twitter. Use when: (1) User asks to monitor Tom Doerr, (2) Cron job runs for periodic checks, (3) Checking for new GitHub repos shared by Tom Doerr. Includes workflow for posting to Twitter with proper GitHub link verification.

ClawHub Agent Skills author: gbrokng v1.0.0 MIT-0 2 files body ≈ 825 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubTelegramInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Monitor Tom Doerr's X.com profile for new posts and share on Teleg… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 49/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (monitor-tom-doerr) differs from the folder (twitterbrowserpost)
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Execution cost. Instruction body is 825 tokens
    • 100Running it twice. No mutating operations

    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
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 297: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

    External checks

    ClawHub: suspicious
    The skill is instruction-only and mostly matches its stated purpose, but it can run hourly and publish public social posts using a logged-in account with under-scoped controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026