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-dc-dispatchgit 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-dc-dispatch)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dc-dispatch"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dc-dispatch/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-dc-dispatch"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dc-dispatch.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 | $0.00041 | $0.00507 |
| Opus 5 | $0.00020 | $0.00253 |
| Sonnet 5 | $0.00008 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
evo-dc-dispatch 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 10d 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 with Reserves Skill
Solves economic dispatch on a power network with:
- DC power flow (lossless, angle-based)
- Generator limits and polynomial cost minimization
- Transmission line flow limits (rateA)
- Spinning reserve requirements with capacity coupling (Pg + Rg <= Pmax)
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-dc-dispatch/scripts')
from utils import run_dcopf
# End-to-end: load network, solve, validate, write report
report = run_dcopf('/root/network.json', '/root/report.json')
Key Functions
load_network(filepath)- Load MATPOWER JSONparse_network(data)- Parse into structured format with bus/gen/branch/cost databuild_Bbus_and_Bf(net)- Build DC power flow matrices (Bf for branch flows, Bbus for bus balance)solve_dcopf_with_reserves(net)- Formulate and solve LP with scipy.optimize.linprog (HiGHS)compute_line_loading(net, solution)- Calculate line loading percentagesbuild_report(net, solution)- Construct output report dictionaryvalidate_report(net, solution, report)- Verify all constraints satisfiedrun_dcopf(input_path, output_path)- End-to-end entry point
Problem Formulation
Variables: Pg (generation), Rg (reserve), theta (bus angles) - all in per-unit
Objective: minimize sum(c1_i * Pg_i) for linear cost generators
Constraints:
- Bus power balance: Cg @ Pg - Bbus @ theta = Pd + Pshift_bus
- Line flow limits: |Bf @ theta + Pshift| <= rateA
- Generator bounds: Pmin <= Pg <= Pmax
- Capacity coupling: Pg + Rg <= Pmax
- Reserve bounds: 0 <= Rg <= reserve_capacity
- System reserve: sum(Rg) >= reserve_requirement
- Reference bus angle = 0
Output Format
report.json with generator_dispatch, totals, most_loaded_lines, operating_margin_MW
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.
- 10d ago First seen · 54 lines · 41 tokens per session scan A 0c58562130c5
evo-dc-dispatch is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 20d ago), licensed Apache-2.0. It adds 41 tokens to every session and 507 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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