Invoice anomaly detector
Skill sisodiabhumca/agent-skills/skills/invoice-anomaly-detector
Vendor-neutral skill to flag billing anomalies in vendor invoices and produce reconciliation actions.From its SKILL.md
npx -y skills add sisodiabhumca/agent-skills --skill invoice-anomaly-detectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
0.4 KB, 47 tokens by cl100k_base, as published. Nobody here has run it
Purpose
Use this skill to process structured input and produce a concise, actionable report.
Input
- JSON object or CSV rows with the relevant business signals.
Output
- Structured JSON summary with findings and recommendations.
What ships with it: 2 files
1.1 KB alongside SKILL.md, 1 of them executable
Gives 0 of the 12 instructions most finance skills give in 47 tokens
Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07
- Extract date vendor amount and descriptionin 15 of 469, across 3 files
- Scan folder for invoice filesin 14 of 469, across 2 files
- Rename files to standard formatin 14 of 469, across 2 files
- Show organization plan before movingin 14 of 469, across 2 files
- Generate summary CSVin 14 of 469, across 2 files
- Organize files by categoryin 13 of 469, across 1 file
- Preserve original filesin 13 of 469, across 1 file
- Flag files missing critical infoin 13 of 469, across 1 file
- Produce the requested output filein 9 of 469, across 4 files
- Build best, base, and worst case scenariosin 9 of 469, across 5 files
- Implement backoff if rate limit errors occurin 8 of 469, across 3 files
- Determine the weighted average cost of capitalin 8 of 469, across 4 files
Said here and by no other author read
- produce a concise actionable report
- use structured json summary with findings
- include recommendations in the json summary
- process json object or csv rows
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.