SKILLEMALL.ai

AC sustainability-playbook

World-Class Sustainability & Social Responsibility Playbook. Use for: ESG strategy, carbon footprint (Scope 1/2/3), ethical sourcing, supply chain due diligence, CSR, stakeholder capitalism, ESG reporting (GRI, ISSB, SASB, CSRD/ESRS, TCFD, CDP, SBTi), double materiality, net-zero/decarbonisation, climate risk, greenwashing avoidance, circular economy, human rights due diligence, CSDDD, LkSG, UFLPA, Modern Slavery Act, supplier code of conduct, ESG KPIs, UK SDR, science-based targets, Triple Bottom Line, ESG governance, anti-corruption, carbon offsetting, renewable energy, community investment. Trigger when discussing ANY sustainability, ESG, social responsibility, ethical sourcing, carbon management, climate strategy, or responsible business topic. If in doubt, use this skill.

ClawHub Agent Skills author: chilu18 v0.1.0 MIT-0 4 files body ≈ 3 662 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureData and analyticsOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. 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 57/100

    • 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. 8 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 66 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3662 tokens
    • low 11 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

    • +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
    • +1No license
    • +2Single-language instructions
    • +3Description length 787: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 66 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This is a sustainability and ESG guidance skill with broad activation wording, but the artifacts show advisory markdown content rather than hidden access, persistence, or unsafe behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026