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 OpenLAIR/OpenSkill --skill evo-matpower-parsergit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-matpower-parser)<a href="https://agentmods.dev/skills/openlair/openskill/evo-matpower-parser"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-matpower-parser/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/openlair/openskill/evo-matpower-parser"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-matpower-parser.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 | $0.00044 | $0.00507 |
| Opus 5 | $0.00022 | $0.00253 |
| Sonnet 5 | $0.00009 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
evo-matpower-parser 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 today.
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
evo-matpower-parser
Parses MATPOWER JSON network files and builds all data structures needed for DC-OPF.
Key Functions
load_matpower_json(filepath)- Load JSON file, returns dictcreate_bus_mappings(bus_data)- Returns (ext2int, int2ext) dictsfind_slack_bus(bus_data)- Returns external bus ID of slack (type 3)parse_generators(gen_data, ext2int)- Returns dict with ng, gen_bus_int, pmax, pmin, statusparse_branches(branch_data, ext2int)- Returns dict with nl, f/t_bus_int/ext, x, rate_a, statusparse_gencost(gencost_data)- Returns dict with c2, c1, c0 arrayscompute_network_matrices(bus_data, branches, ext2int, slack_ext)- Returns dict with PTDF, Bbus, etc.modify_branch_rate(data, f_bus, t_bus, multiplier)- Deep copies data, scales RATE_Aget_load_vector(bus_data, nb)- Returns load arrayget_gen_bus_matrix(gen_info, nb)- Returns Cg matrix (nb x ng)
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-matpower-parser/scripts')
from utils import (load_matpower_json, create_bus_mappings, find_slack_bus,
parse_generators, parse_branches, parse_gencost,
compute_network_matrices, modify_branch_rate,
get_load_vector, get_gen_bus_matrix)
data = load_matpower_json('network.json')
ext2int, int2ext = create_bus_mappings(data['bus'])
slack = find_slack_bus(data['bus'])
gens = parse_generators(data['gen'], ext2int)
branches = parse_branches(data['branch'], ext2int)
costs = parse_gencost(data['gencost'])
matrices = compute_network_matrices(data['bus'], branches, ext2int, slack)
load_p = get_load_vector(data['bus'], len(data['bus']))
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.
- today First seen · 42 lines · 44 tokens per session scan A 9df2d5e113ae
evo-matpower-parser is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 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 2026-09-11.
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