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 Proxy2021/Enso --skill focus_evaluatorgit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/focus_evaluator)<a href="https://agentmods.dev/skills/proxy2021/enso/focus_evaluator"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/focus_evaluator/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/proxy2021/enso/focus_evaluator"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/focus_evaluator.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 | $0.00032 | $0.00576 |
| Opus 5.5 | $0.00013 | $0.00230 |
| Sonnet 5.5 | $0.00006 | $0.00115 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
focus_evaluator 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Focus area evaluation dashboard: assessment trends, behavioral engagement signals, drift detection, structured evaluation findings, and cross-area comparison for the Team Leader.
Tool Reference
enso_focus_evaluator_dashboard (primary)
Load the focus evaluation dashboard showing all focus areas with assessment scores, trends, drift status, and engagement signals. Use when the user says: 'show focus dashboard', 'evaluation overview', 'how are my focus areas doing', 'focus area status', 'assessment dashboard'.
enso_focus_evaluator_trend_analysis
Show assessment trend analysis for a specific focus area: historical scores chart, velocity, acceleration, projected progress, and cycle statistics. Use when the user says: 'show trends for', 'assessment history', 'how is progress trending', 'score trajectory'.
Parameters:
focusId(string): Focus area ID to analyze trends for
enso_focus_evaluator_signal_scan
Collect and display behavioral engagement signals for a focus area: cortex growth, app engagement, git velocity, content creation, conversation depth, and deliverable activation scores. Use when the user says: 'check engagement signals', 'behavioral signals', 'how engaged am I with', 'activity signals'.
Parameters:
focusId(string): Focus area ID to scan signals forperiodDays(number): Number of days to look back (default: 14)
enso_focus_evaluator_drift_scan
Run drift detection across all focus areas. Identifies stalling, regressing, disengaged, accelerating, or confidence-drop patterns. Returns alerts with severity and suggested actions. Use when the user says: 'check for drift', 'any focus areas stalling', 'drift detection', 'are any areas stuck', 'focus area health check'.
enso_focus_evaluator_evaluation_report
Generate a structured evaluation report for a focus area: key findings categorized as strengths/gaps/risks/opportunities, quantitative metrics, and delta from previous evaluation. Use when the user says: 'evaluate focus area', 'focus evaluation report', 'assessment report for', 'structured evaluation'.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 46 lines · 32 tokens per session scan A d99954d83b44
focus_evaluator is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 576 once invoked, about $0.0001 per session on Opus 5.5. 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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