SKILLEMALL.ai

AC nella

Use this skill whenever the user is working inside a code repository and needs grounded, codebase-aware answers: locating a symbol or definition, tracing where a function is called, understanding how modules connect, reviewing dependency drift, or maintaining persistent context across a session. Trigger this skill on phrases like "where is X defined", "how is Y used", "what calls this", "search the codebase", "index this repo", or any request that benefits from semantic or hybrid code search rather than blind grep. Also use when an assumption about the codebase should be recorded for later verification, or when a long-running coding session needs continuity of context across turns. Do NOT use this skill for one-off shell commands, simple text edits, or tasks that do not require structural understanding of the repository.

ClawHub Agent Skills author: Pablo Manjarres Negrette v0.2.7 MIT-0 11 files body ≈ 962 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

AnalyzerSoftware developmenttype 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
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 · 0

    ✓ No critical or high findings

    Files scanned: 11. 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: Use this skill whenever the user is working inside a code reposito… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 962 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

    • +3Description length 832: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (2 code blocks)

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

    External checks

    ClawHub: suspicious
    Nella is a coherent code-search skill, but it deserves Review because normal use can send repository content and usage metadata to remote services while storing credentials and context locally.
    LLM: suspicious (high) · VirusTotal: · 9 Jun 2026