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energy-procurement

Codified expertise for electricity and gas procurement, tariff optimisation, demand charge management, renewable PPA evaluation, and multi-facility energy cost management.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/energy-procurement/SKILL.md

The canonical home for this skill is energy-procurement in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a dense, well-organized expertise codification with concrete decision frameworks, escalation protocols, and clean progressive disclosure to three real reference files. Its main weakness is moderate verbosity from restating broadly-known sustainability/market definitions.

Suggestions

Trim definitional background on well-known concepts (RE100, CDP, regulated vs deregulated markets) to the operational angle only, retaining the expert-specific numbers and mechanisms.

Add an explicit validate/verify checkpoint into the Demand Charge Mitigation ROI and Procurement Strategy Selection workflows (e.g., 'confirm load-factor data is weather-normalized before scoring').

DimensionReasoningScore

Conciseness

The body is mostly efficient and packed with expert specifics ($8–25/kW demand charges, PLC mechanics, ERCOT Uri figures), but several sections define concepts Claude already knows (RE100, CDP, regulated vs deregulated markets) and could be tightened.

3 / 5

Actionability

Provides concrete, executable guidance — numbered decision frameworks (procurement strategy selection, PPA evaluation), a 4-step demand-charge ROI procedure, specific escalation triggers with timelines, and quantitative performance targets — with only minor gaps.

4 / 5

Workflow Clarity

Multi-step processes are clearly sequenced (numbered PPA evaluation and ROI steps) and the Performance Indicators and Escalation Protocols tables act as verification/checkpoint mechanisms, though the decision frameworks themselves lack explicit validate-then-proceed feedback loops.

4 / 5

Progressive Disclosure

Well-structured overview with clearly signaled one-level-deep references to three real bundle files (decision-frameworks.md, edge-cases.md, communication-templates.md), each summarized inline with 'see … for full analysis' pointers — content is appropriately split and easy to navigate.

5 / 5

Total

16

/

20

Passed

Description

75%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinct, clearly scoping a niche energy-procurement domain with concrete capability areas. Its main weakness is the absence of an explicit 'when to use' trigger clause, which caps completeness.

Suggestions

Append a 'Use when…' clause naming concrete triggers, e.g. 'Use when optimizing electricity/gas tariffs, evaluating PPAs/VPPAs, managing demand charges, or planning multi-facility energy cost strategy.'

Add a couple of natural synonyms (e.g. 'energy sourcing', 'power purchase agreement') to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Lists multiple specific concrete capability areas — 'electricity and gas procurement, tariff optimisation, demand charge management, renewable PPA evaluation, and multi-facility energy cost management' — giving comprehensive coverage rather than vague abstractions.

5 / 5

Completeness

Provides a clear 'what' (codified expertise across the listed procurement tasks) but no 'when'/'Use when' clause or equivalent trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural domain terms a user would say ('energy procurement', 'tariff', 'demand charge', 'PPA') with good coverage, but misses a few common synonyms and has no explicit 'Use when…' trigger phrasing.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche — commercial/industrial energy procurement with PPA, tariff, and demand-charge specifics — with distinct triggers and minimal overlap risk against other skills.

5 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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