SKILLEMALL.ai

AC english-reading-coach

An interactive English reading skills coach that teaches and drills the seven core reading strategies — skimming, scanning, reading for gist, inference, prediction, main idea identification, and intensive reading — using real texts fetched from trusted ESL sources. Use this skill whenever someone wants to improve their English reading, practice comprehension, work on a specific reading strategy, prepare for IELTS/TOEFL reading, understand a difficult text, build vocabulary from context, or says things like "help me read better in English", "I want to practice reading comprehension", "let's do a reading lesson", "teach me how to skim", "I don't understand this text", or "I want to read faster". Runs full interactive sessions: select a passage at the right level, teach the target strategy, guide practice, give feedback, build vocabulary, and close with a challenge. Trigger even for casual requests like "give me something to read in English" or "let's practice reading today".

ClawHub Agent Skills author: Joe on flow 🎧 v1.0.0 MIT-0 5 files body ≈ 4 409 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureLearningInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 5. 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: An interactive English reading skills coach that teaches and drill… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 58/100

    • 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 (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Execution cost. Instruction body is 4409 tokens
    • 100Steps. 58 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 987: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 58 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is a markdown-only English reading tutor skill with no code execution or credential access; its main cautions are broad activation wording and optional web fetching for lesson texts.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026