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 panaversity/agentfactory-business-plugins --skill idfa-opsgit clone --depth 1 https://github.com/panaversity/agentfactory-business-pluginsWrote 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/panaversity/agentfactory-business-plugins/idfa-ops)<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/idfa-ops"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/idfa-ops/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/panaversity/agentfactory-business-plugins/idfa-ops"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/idfa-ops.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 | $0.00076 | $0.01469 |
| Opus 5.5 | $0.00030 | $0.00588 |
| Sonnet 5.5 | $0.00015 | $0.00294 |
| Haiku 4.5 | $0.00008 | $0.00147 |
Grade A, and why
idfa-ops 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDFA Operations
Scripts for programmatic interaction with IDFA-compliant Excel financial models.
When to Use This Skill
Activate when the idfa-financial-architect methodology skill calls for model
interaction:
- Writing assumptions — setting Named Range input values
- Reading results — retrieving calculated outputs after recalculation
- Inspecting structure — listing all Named Ranges, formulas, and dependencies
- Auditing compliance — checking all four IDFA guardrails
- Recalculating — triggering deterministic formula evaluation via LibreOffice
This skill provides the HOW. The methodology skill provides the WHAT.
Prerequisites
| Dependency | Required | Purpose |
|---|---|---|
| Python 3.10+ | Yes | Script runtime |
| uv | Yes | PEP 723 inline dependency resolution |
| LibreOffice | Yes (for recalc) | Deterministic formula evaluation |
| Anthropic xlsx skill | Recommended | Provides battle-tested recalc.py |
Scripts use PEP 723 inline metadata — uv run handles dependency installation
automatically. Zero manual pip install needed.
Operations Reference
| Operation | Command | What It Does |
|---|---|---|
| Write assumption | uv run scripts/idfa_ops.py write <file> <name> <value> |
Set a Named Range input value |
| Read result | uv run scripts/idfa_ops.py read <file> <name> [name2...] |
Read Named Range value(s) |
| Inspect model | uv run scripts/idfa_ops.py inspect <file> |
List all Named Ranges, values, formulas |
| Read formula | uv run scripts/idfa_ops.py formula <file> <name> |
Return the formula text for a Named Range |
| Create Named Range | uv run scripts/idfa_ops.py create-range <file> <name> <sheet> <cell> |
Create a new Named Range definition |
| Recalculate | uv run scripts/recalc_bridge.py <file> |
Trigger LibreOffice deterministic recalculation |
| Audit compliance | uv run scripts/idfa_audit.py <file> |
Check all four IDFA guardrails, return JSON report |
What ships with it
8 files 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.
- description-optimization/2026-03-12_033135/logs/improve_iter_1.json 15 KB
- description-optimization/2026-03-12_033135/logs/improve_iter_2.json 17 KB
- evals/evals.json 14 KB
- evals/files/ops_test_model.xlsx 8.4 KB
- scripts/idfa_audit.py 5.6 KB runs code
- scripts/idfa_ops.py 6.1 KB runs code
- scripts/recalc_bridge.py 4.8 KB runs code
- trigger_eval_set.json 1.8 KB
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.
- 1mo ago First seen · 174 lines · 76 tokens per session scan A 05fff89d5b29
idfa-ops is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (36 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,469 once invoked, about $0.0003 per session on Opus 5.5. 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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