Borrowing it
Nothing to install: this file belongs to zhnnky329/MathModeling-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhnnky329/MathModeling-skills/main/.claude/skills/consistency-auditor/SKILL.mdgit clone --depth 1 https://github.com/zhnnky329/MathModeling-skillsWrote 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/zhnnky329/mathmodeling-skills/consistency-auditor)<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/consistency-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/consistency-auditor/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/zhnnky329/mathmodeling-skills/consistency-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/consistency-auditor.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 | $0.00046 | $0.00489 |
| Opus 5 | $0.00023 | $0.00244 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
consistency-auditor 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 12d 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
Modes
scoped: run only for aCANONICALorFROZENchange and only for affected Qx/identifiers.final: run across all submission artifacts before assembly.
Sources of Truth
Prefer:
frozen_numbers.jsonfor paper numbers;qx_decisions.jsonlfor human judgments;planning/symbol_table.mdfor symbols/units;- approved code plan and run summary for parameters and executed methods;
- solution package for writer-facing structure.
Use legacy decision logs or Markdown reviews only during migration.
Checks
- Numerical claims match frozen values and units.
- Formula, parameter, constraint, and method roles match approved code and plan.
- Symbols and units match the global symbol table.
- Referenced tables, figures, code, and data files exist.
- Why-this-method, result verdict, stability, confidence, and claim scope resolve to human decision IDs.
- Freeze and decisions are not stale relative to materially changed cited evidence.
Scoped Workflow
- Receive changed files/identifiers and their impact class.
- Resolve affected Qx and downstream consumers.
- Check only those relationships.
- Return a compact digest or save
results/Qx/reports/scoped_consistency.jsonwhen durable evidence is needed. - Do not rewrite other artifacts.
Final Workflow
- Check all submission Qx.
- Save
paper/audits/cross_media_consistency_audit.md. - Report
PASSED,FAILED, orNOT_RUN. - List concrete divergences and repair owners. Do not pad a pass list.
Rules
- Do not run a full audit for formatting, comments, scratch work, or ordinary pre-freeze exploration.
- Do not infer canonical numbers from the paper.
- Do not repair divergences inside the audit.
- Do not approve final assembly directly.
Verification
- Scope matches the semantic impact.
- Every divergence identifies source, consumer, and expected repair.
- Final audit covers all six check classes.
- Verdict follows actual evidence rather than an item count.
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.
- 12d ago First seen · 60 lines · 46 tokens per session scan A 37f7e528822b
consistency-auditor is a skill published in the GitHub repository zhnnky329/MathModeling-skills (882 stars, last pushed 18d ago), licensed MIT. It adds 46 tokens to every session and 489 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.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…