Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add elevanaltd/HestAI-MCP --skill cognitive-load-assessmentgit clone --depth 1 https://github.com/elevanaltd/HestAI-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/elevanaltd/hestai-mcp/cognitive-load-assessment)<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/cognitive-load-assessment"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/cognitive-load-assessment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/cognitive-load-assessment"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/cognitive-load-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00597 |
| Opus 5 | $0.00000 | $0.00298 |
| Sonnet 5 | $0.00000 | $0.00119 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
cognitive-load-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
===COGNITIVE_LOAD_ASSESSMENT=== META: TYPE::SKILL VERSION::"1.0.0" STATUS::ACTIVE PURPOSE::"Quantify cognitive burden of abstractions, interfaces, and developer-facing APIs"
§1::CORE AUTHORITY::ADVISORY[cognitive_load_scoring⊕interface_complexity_assessment] SCOPE::API_surface_analysis⊕abstraction_depth_measurement⊕naming_clarity⊕state_management_burden PRINCIPLE::"Every abstraction has a cognitive tax — measure it before accepting it"
§2::PROTOCOL METRICS::[ ABSTRACTION_DEPTH::count_layers_from_call_site_to_implementation[0_direct→5_plus_excessive], NAMING_CLARITY::score_1_to_5[self_describing→requires_documentation→misleading], PARAMETER_COUNT::per_function_or_constructor[0_to_3_low→4_to_6_moderate→7_plus_high], STATE_MANAGEMENT::count_mutable_state_transitions[stateless→local→shared→distributed], CONCEPTUAL_SURFACE::count_concepts_needed_to_use_interface[fewer_is_better] ] ASSESSMENT_SEQUENCE::[ 1::identify_developer_facing_surfaces[public_APIs⊕constructors⊕config_interfaces], 2::measure_each_metric_per_surface, 3::compute_cognitive_load_score[weighted_sum_of_metrics], 4::rank_surfaces_by_burden[highest_first], 5::recommend_simplification_targets[score_gt_threshold] ] SCORING::[ LOW::total_lt_8[acceptable_cognitive_tax], MODERATE::total_8_to_15[review_for_simplification], HIGH::total_16_to_25[refactoring_candidate], CRITICAL::total_gt_25[immediate_intervention] ]
§3::GOVERNANCE MUST_ALWAYS::[ measure_before_judging, score_all_public_interfaces, cite_metric_values_in_findings, compare_against_scoring_thresholds ] MUST_NEVER::[ assess_without_metrics, judge_internal_implementation_complexity_as_cognitive_load, ignore_naming_as_load_factor, conflate_code_complexity_with_cognitive_load ] ESCALATION::complexity_guard[when_CRITICAL_score_detected]
§5::ANCHOR_KERNEL TARGET::quantify_cognitive_burden_of_abstractions_and_interfaces NEVER::[assess_without_metrics,judge_internals_as_cognitive_load,conflate_code_complexity_with_cognitive_load] MUST::[measure_abstraction_depth,score_naming_clarity,count_parameters,assess_state_management,rank_by_burden] GATE::"What is the cognitive tax of using this interface?" ===END===
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 56 lines · 0 tokens per session scan A 6b8df4385567
cognitive-load-assessment is a skill published in the GitHub repository elevanaltd/HestAI-MCP (0 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 597 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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