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 agentmods add skills/planexeorg/planexe/generate-calculationsnpx skills add PlanExeOrg/PlanExe --skill generate-calculationsgit clone --depth 1 https://github.com/PlanExeOrg/PlanExeWrote 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/planexeorg/planexe/generate-calculations)<a href="https://agentmods.dev/skills/planexeorg/planexe/generate-calculations"><img src="https://agentmods.dev/badge/skills/planexeorg/planexe/generate-calculations.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01277 |
| Opus 5 | $0.00019 | $0.00639 |
| Sonnet 5 | $0.00008 | $0.00255 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
generate-calculations 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 5d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Deterministic Calculations from Extracted Parameters
Overview
Wraps the calculation-generator system prompt at system-prompt.txt (next to this file) and applies it to a parameter JSON produced by extract-parameters-from-full (validated by validate-parameters). Output is a single Python module of small, pure functions — one per formula_hint declared in recommended_first_calculations and derived_questions.
Stage 5 of the pipeline described in planexe_simulator/README.md.
When to Use
- User asks to "generate calculations", "emit Python", "materialise the formulas", or "build the deterministic functions" given a validated parameter JSON
- Pipeline step between
validate-parameters(passes clean) /generate-boundsandrun-scenarios - User wants importable Python functions ready for scenario tables
Not for: regenerating the parameter JSON (use extract-parameters-from-full), validating it (use validate-parameters), producing low/base/high ranges (use generate-bounds), or running scenarios (use run-scenarios).
Workflow
- Get the input JSON path. If the user did not provide one, ask. Do not guess.
- Read
system-prompt.txt(sibling of this SKILL.md). Its function-shape, division-guard, and module-structure rules are authoritative. - Read the parameter JSON. Assume it has already passed
validate-parameters; if it visibly hasn't, tell the user and offer to validate first. - Produce the Python module per the system prompt.
- Output destination. Default: write to a file. Suggested default path:
<input-basename>.calculations.pynext to the input. Print the file path back, plus a one-line summary (function count, any# skippedlines, any TODO stubs forP(...)notation).
What gets a function
| Input list | Action |
|---|---|
recommended_first_calculations |
one function each |
derived_questions |
one function each |
key_values |
not converted — these are caller-supplied inputs |
missing_values_to_estimate |
not converted — supplied via bounds at scenario time |
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.
- 5d ago First seen · 105 lines · 39 tokens per session scan A 4a8a403504da
generate-calculations is a skill published in the GitHub repository PlanExeOrg/PlanExe (398 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 1,277 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 2026-08-30.
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