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 Zhang-Henry/CoEvoSkills --skill evo-dcopf-marketgit clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkillsWrote 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/zhang-henry/coevoskills/evo-dcopf-market)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dcopf-market"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dcopf-market/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/zhang-henry/coevoskills/evo-dcopf-market"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dcopf-market.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00427 |
| Opus 5 | $0.00016 | $0.00214 |
| Sonnet 5 | $0.00007 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
evo-dcopf-market 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 12d 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
DC-OPF Market Clearing with Reserve Co-optimization
Overview
This skill implements a DC Optimal Power Flow (DC-OPF) solver with spinning reserve co-optimization for day-ahead electricity market clearing analysis.
Key Concepts
DC-OPF Formulation
- Variables: generator power (pg), reserve (rv), bus angles (theta)
- Objective: minimize total generation cost
- Constraints:
- Power balance at each bus (gen - demand = net flow)
- Branch flow = baseMVA * (theta_from - theta_to) / reactance
- Branch flow limits: -rateA <= flow <= rateA
- Generator limits: Pmin <= pg <= Pmax
- Capacity coupling: pg + rv <= Pmax
- Reserve limits: 0 <= rv <= reserve_capacity
- System reserve: sum(rv) >= reserve_requirement
- Reference bus angle = 0
LMP and Reserve MCP
- LMP at each bus = dual value of power balance constraint
- Reserve MCP = dual value of system reserve requirement constraint
Binding Lines
- Lines where |flow| / rateA >= 0.99 (99% loading)
Scripts
scripts/solver.py: Main solver with all functions
Usage Example
import sys
sys.path.insert(0, '/app/environment/skills/evo-dcopf-market/scripts')
from solver import run_analysis, validate_report
report = run_analysis(
network_path='/root/network.json',
output_path='/root/report.json',
from_bus=64,
to_bus=1501,
capacity_increase=0.20
)
validate_report('/root/report.json')
Dependencies
- numpy
- pulp (with CBC solver)
What ships with it
1 file 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.
- 12d ago First seen · 60 lines · 33 tokens per session scan A 4a86870f898b
evo-dcopf-market is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 33 tokens to every session and 427 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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