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/tkpratardan/lemma/lemma-wranglenpx skills add tkpratardan/lemma --skill lemma-wranglegit clone --depth 1 https://github.com/tkpratardan/lemmaWrote 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/tkpratardan/lemma/lemma-wrangle)<a href="https://agentmods.dev/skills/tkpratardan/lemma/lemma-wrangle"><img src="https://agentmods.dev/badge/skills/tkpratardan/lemma/lemma-wrangle.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 5.1 | $0.00031 | $0.00247 |
| Opus 5 | $0.00015 | $0.00123 |
| Sonnet 5 | $0.00006 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
lemma-wrangle 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.
What it actually says
Wrangle and reconcile
Deliver
Produce the requested analytical dataset or result with its output grain, key/definition contract, join or extraction diagnostics, lineage, and unresolved conflicts.
Check
- Inventory source ownership, dates, formats, units, row grain, and likely
keys.
scripts/source_inventory.pyis available for complex inventories. - Profile key uniqueness and missingness before joining.
- Preserve raw fields; create documented normalized fields.
- Measure match rates, unmatched records, row multiplication, duplication, and metric conservation for joins.
- Validate parsed or transformed values against representative source examples.
Do not enter this skill merely because several compatible files are used. Do not silently coerce units or keys, permit an unexplained many-to-many join, or drop unmatched records without accounting for them.
For authority matrices and extraction QA, read references/deep-guide.md.
What ships with it
2 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.
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 · 33 lines · 31 tokens per session scan A 1a39f307491c
lemma-wrangle is a skill published in the GitHub repository tkpratardan/lemma (3 stars, last pushed 26d ago), licensed MIT. It adds 31 tokens to every session and 247 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 2026-08-31.
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