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-nasa-budget-recoverygit 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-nasa-budget-recovery)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-nasa-budget-recovery"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/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/zhang-henry/coevoskills/evo-nasa-budget-recovery"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-nasa-budget-recovery.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 | $0.00054 | $0.00453 |
| Opus 5 | $0.00027 | $0.00227 |
| Sonnet 5 | $0.00011 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00045 |
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 9d 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
NASA Budget Recovery Skill
Recovers missing values in multi-sheet NASA budget workbooks where values are marked with '???'.
Approach
- Budget by Directorate: Use Total = sum(components) to recover missing components or totals
- YoY Changes (%): Use formula
100*(current-previous)/previouswith budget values - Directorate Shares (%): Use formula
100*component/totalwith budget values - Growth Analysis: Compute CAGR, differences, and averages from budget values
- Cross-sheet resolution: When a budget row has 2 unknowns, use YoY percentages to recover one, then derive the other from the total
- Recalculation: Use LibreOffice to recalculate the workbook after recovery
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-nasa-budget-recovery/scripts')
from utils import run_full_pipeline
input_path = '/root/nasa_budget_incomplete.xlsx'
output_path = '/root/nasa_budget_recovered.xlsx'
issues = run_full_pipeline(input_path, output_path)
if not issues:
print("All validations passed!")
Key Functions
run_full_pipeline(input_path, output_path)- Complete end-to-end pipeline with recalculationrun_recovery(input_path, output_path)- Recovery without recalculationvalidate_recovery(output_path)- Validate all constraints are satisfiedrecalculate_with_engine(output_path)- Recalculate with LibreOfficerecover_budget_values(wb)- Solve budget totals/componentsrecover_from_yoy(wb, budget_recovered)- Use YoY to fill budget gapsrecover_shares(wb, budget_recovered)- Compute share percentagesrecover_growth(wb, budget_recovered)- Compute growth metrics
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.
- 9d ago First seen · 44 lines · 54 tokens per session scan A 4f1a9eacde1f
evo-nasa-budget-recovery is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 54 tokens to every session and 453 once invoked, about $0.0003 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 2026-09-03.
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