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-nasa-budget-recoverygit 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-nasa-budget-recovery)<a href="https://agentmods.dev/skills/openlair/openskill/evo-nasa-budget-recovery"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-nasa-budget-recovery/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-nasa-budget-recovery"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-nasa-budget-recovery.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 | $0.00040 | $0.00348 |
| Opus 5 | $0.00020 | $0.00174 |
| Sonnet 5 | $0.00008 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
evo-nasa-budget-recovery 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-nasa-budget-recovery
Recovers missing ??? values in multi-sheet NASA budget Excel files.
Relationships Detected
- Row sums: Budget sheet Total col = sum of directorate cols
- YoY %: (current - previous) / previous * 100, rounded to 2 decimals
- Shares %: directorate_val / total * 100, rounded to 2 decimals
- Growth Analysis: CAGR, 5-year change, average annual budget
- Cross-sheet: Budget values recoverable from YoY + previous year
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-nasa-budget-recovery/scripts')
from utils import run_recovery_pipeline
wb = run_recovery_pipeline('input.xlsx', 'output.xlsx')
Key Functions
run_recovery_pipeline(input_path, output_path)- Full pipelinesolve_row_with_one_unknown(ws, row, data_cols, total_col)- Row sum solverrecover_yoy_value(budget_ws, yoy_ws, row, col)- YoY % calculatorrecover_share_value(budget_ws, shares_ws, row, col)- Share % calculatorrecover_growth_analysis(wb)- Growth sheet recoveryrecover_budget_from_yoy(budget_ws, yoy_ws, row, col)- Cross-sheet recovery
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 · 34 lines · 40 tokens per session scan A 49cd3c182467
evo-nasa-budget-recovery is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 348 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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