SKILLEMALL.ai

BC token-efficiency-guide

Reference material, not an executable tool: one document (GUIDE.md) with ten concrete steps for cutting OpenClaw token consumption on a Claude subscription — heartbeat model, session compaction, cron model and frequency, bash-ified crons, workspace file size, cache retention. Read it when asked why token usage is high or how to lower it.

ClawHub Agent Skills author: Oscar Serra v1.2.0 MIT-0 2 files body ≈ 1 094 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Reference material, not an executable tool: one document (GUIDE.md) with ten concrete steps for cutting OpenClaw token consumption on a Claude subscription —…

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
88
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Dangerous commands cmd-cron-mention GUIDE.md:83
      Mentions editing / listing crontab
      crontab -e
    • low Dangerous commands cmd-cron-mention GUIDE.md:267
      Mentions editing / listing crontab
      crontab -e
    • low Dangerous commands cmd-cron-mention SKILL.md:66
      Mentions editing / listing crontab (quoted — discussed, not commanded)
      `crontab -e`; nothing in this directory does that on its own.
      quoted

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 29 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1094 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
    • +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 339: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a documentation-only skill that gives manual token-saving guidance, with disclosed optional cron and file-moving examples but no executable install behavior.
    LLM: benign (high) · VirusTotal: · 17 Sept 2026