refresh-provider-docs

Instructions for checking published documentation from AI providers and comparing it with information on agentconfig.org. AI providers are services or tools that supply artificial-intelligence features.

In plain words
What is it for?
Verifying provider settings, hooks, skills, MCP, custom agents, precedence rules, and compatibility entries with cited sources.
Why use it?
Configuration details such as file locations and event names can change, so the site needs evidence instead of guesses.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agentconfig/agentconfig.org/refresh-provider-docs
Any agent
npx skills add agentconfig/agentconfig.org --skill refresh-provider-docs
Clone the repo
git clone --depth 1 https://github.com/agentconfig/agentconfig.org

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00067 $0.02061
Opus 5 $0.00034 $0.01030
Sonnet 5 $0.00013 $0.00412
Haiku 4.5 $0.00007 $0.00206

Measured 2d ago against content hash 5f3a21577b18, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refresh-provider-docs 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 2d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/lib/compare.ts, scripts/lib/evidence.ts, scripts/lib/fetch.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/refresh-provider-docs/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Refresh Provider Documentation

Verify what agentconfig.org publishes against what providers actually document, and cite a primary source for every claim.

The site's credibility rests on being right about file paths, lifecycle events, and precedence rules that change without notice. This skill exists so that no provider panel, comparison row, or tutorial is expanded on memory.

The split this skill enforces

Reading documentation is a judgment task. Deciding whether the site is wrong is not.

Step Owner Why
Retrieve registered sources Script Reproducible, cited, and offline afterwards
Read the retrieved documents Agent Prose is not parseable by regex
Write normalized claims Agent Extraction is judgment, so it must be explicit and citable
Validate, compare, and report Script A verdict must be deterministic and reviewable

Never skip the middle two steps by guessing, and never hand-write a finding. If a claim cannot be traced to a retrieved snapshot, it does not get recorded.

When to Use

Use this skill when:

  • A provider's configuration location, hook events, permissions, or precedence rules need checking against current documentation.
  • A new provider is being considered for the compatibility index.
  • The scheduled refresh runs and needs an evidence report.
  • Someone asks which primary source backs a published claim.

Do not use this skill to edit content. It produces evidence and findings; the edits belong to add-primitive, add-provider, and generate-llms.

Workflow

1. Retrieve the sources

bun .github/skills/refresh-provider-docs/scripts/provider-docs.ts fetch --allow-network
bun .github/skills/refresh-provider-docs/scripts/provider-docs.ts fetch --allow-network --provider claude

Retrieval requires --allow-network every time. Nothing in this skill runs during an ordinary site build, and the site never depends on network access to render.

Snapshots and a manifest.json are written to a fresh run-specific directory outside the repository, printed at the end of the run. Each run gets its own directory so a partial or provider-scoped retrieval can never leave older snapshots beside the new manifest, where they would be read back as current evidence. Each snapshot carries its source id, canonical URL, requested URL, final URL, content type, authority, and retrieval timestamp in a header comment. Responses are limited to 512 KB, non-document content types fail closed, and unexpected redirect targets are rejected. An unknown --provider value fails closed rather than reporting an empty run as a success. Scheduled runs add --tracked-only so candidate providers cannot silently enter the compatibility refresh. If any source fails, the command exits non-zero: fix or retire the registry entry rather than publishing a claim you could not retrieve.

Read the full file on GitHub · 152 lines

Files

What ships with it

36 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.

Changes

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.

  1. 2d ago First seen · 152 lines · 67 tokens per session scan A 5f3a21577b18

Subscribe to this mod's changes

refresh-provider-docs is a skill published in the GitHub repository agentconfig/agentconfig.org (8 stars, last pushed 5d ago), licensed ISC. It adds 67 tokens to every session and 2,061 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

clinical-reports

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…

synthetic-sciences/openscience · 71 tokens

clinical-decision-support

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…

synthetic-sciences/openscience · 97 tokens

immunology-assays

Computational analysis of immunology experimental data. ATAC-seq differential accessibility, immune cell tracking from microscopy, ELISA data processing with 4-parameter logistic fitting, immunohistochemistry quantification, antibody titer analysis, and cell cycle phase duration estimation. For flow cytometry use…

synthetic-sciences/openscience · 79 tokens

molecular-cloning

Molecular cloning simulation and design. PCR amplicon prediction, restriction enzyme digestion, Golden Gate and Gibson assembly simulation, primer design, CRISPR sgRNA design, and plasmid annotation. For protein-level sequence analysis use biopython or esm; for database lookups use gene-database or ensembl-database.

synthetic-sciences/openscience · 70 tokens

bioimage-analysis

Microscopy image analysis for cell biology. Cell segmentation (Cellpose, watershed), object tracking (trackpy), morphology quantification, colony counting, colocalization analysis, and cytoskeleton characterization. For pathology WSI use pathml; for flow cytometry use flow-cytometry-analysis.

synthetic-sciences/openscience · 63 tokens

flow-cytometry-analysis

Complete flow cytometry analysis pipeline. FCS file handling, compensation, manual/automated gating, immunophenotyping, CFSE proliferation analysis, cell cycle analysis (Dean-Jett-Fox), and apoptosis assays. Extends flowio with analytical workflows. For raw FCS parsing only use flowio.

synthetic-sciences/openscience · 67 tokens