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-excel-gcc-net-exports-formulasgit 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-excel-gcc-net-exports-formulas)<a href="https://agentmods.dev/skills/openlair/openskill/evo-excel-gcc-net-exports-formulas"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-excel-gcc-net-exports-formulas/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-excel-gcc-net-exports-formulas"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-excel-gcc-net-exports-formulas.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 | $0.00033 | $0.00320 |
| Opus 5 | $0.00016 | $0.00160 |
| Sonnet 5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
evo-excel-gcc-net-exports-formulas 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 yesterday.
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
This skill handles workbook-specific financial/statistical formula construction.
Knowledge internalized:
- The lookup blocks H12:L17, H19:L24, and H26:L31 must contain formulas, not pasted values.
- For this workbook, stable lookup formulas are built with
INDEXon the exact Data row for each series andMATCHon the year header inData!I4:M4against the Task year cells in row 9. - Net exports percent of GDP is
(exports - imports) / GDPwith blank/zero guard. - Summary rows are MIN row 43, MAX row 44, MEDIAN row 45, AVERAGE row 46, 25th percentile row 47, 75th percentile row 48.
- Percentiles must use
PERCENTILE.INC, not legacyPERCENTILE. - GCC weighted mean is on row 50 and uses
SUMPRODUCT(ratios, GDPs)/SUM(GDPs). - Formula strings must be English and comma-separated.
Functions:
map_task_ranges()build_two_key_lookup_formula(task_row, year_col)build_lookup_formula_map()build_net_exports_pct_formula(ratio_row, year_col)build_summary_stat_formulas(year_col)build_weighted_mean_formula(year_col)build_formula_map()
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.
- yesterday First seen · 25 lines · 33 tokens per session scan A 83a11b44c7b3
evo-excel-gcc-net-exports-formulas is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 320 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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