SKILLEMALL.ai

BC ecc-guide

Answer questions about ECC by reading the live repo surface — agents, skills, commands, hooks, rules, install profiles, and docs — instead of memory. Use when the user asks what ECC includes, how to install or reset it, which skill or command fits a task, or how project onboarding works.

The skillemall take

Promises to answer ECC questions by reading the live repo—agents, commands, hooks, profiles—instead of relying on memory. The description is empty, no concrete examples provided. Checks found broken file references but no critical errors. No model runs or sandbox tests. Quality score 81, process score 52: files exist, but logic feels uncertain.

Worth installing if you're already in the ECC ecosystem and need a reference guide. Otherwise, verify whether you actually need this documentation first. You'll have to fix the broken links yourself.

affaan-m/everything-claude-code Agent Skills author: affaan-m MIT 1 file body ≈ 1 339 tokens Open the sourcegithub.com↗ analyzed 21 h ago

Answer questions about ECC by reading the live repo surface — agents, skills, commands, hooks, rules, install profiles, and docs — instead of memory.

As a process C 52/100 · Has gaps — References files that are not bundled: scripts/hooks/

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
52/100
Has gaps
References files that are not bundled: scripts/hooks/
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/hooks/

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: scripts/hooks/
  • 0Tools and files. 1 referenced file(s) missing: scripts/hooks/
  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1339 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 288: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 51 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.