Borrowing it
Nothing to install: this file belongs to Prism-Shadow/agenthub. 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/Prism-Shadow/agenthub/main/.agents/skills/agenthub-dev/SKILL.mdgit clone --depth 1 https://github.com/Prism-Shadow/agenthubWrote 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/prism-shadow/agenthub/agenthub-dev)<a href="https://agentmods.dev/skills/prism-shadow/agenthub/agenthub-dev"><img src="https://agentmods.dev/badge/skills/prism-shadow/agenthub/agenthub-dev/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/prism-shadow/agenthub/agenthub-dev"><img src="https://agentmods.dev/badge/skills/prism-shadow/agenthub/agenthub-dev.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 | $0.00069 | $0.03508 |
| Opus 5.5 | $0.00028 | $0.01403 |
| Sonnet 5.5 | $0.00014 | $0.00702 |
| Haiku 4.5 | $0.00007 | $0.00351 |
Grade A, and why
agenthub-dev 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 1mo 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentHub Development Workflow
Adding or updating model support follows the stages below, in order. Where a stage says stop and ask, pause and ask the user; do not continue until the issue is resolved, and never fill the gap yourself.
Directory map
llmsdk_docs/<model_version>/ Official docs snapshot, one folder per model generation (README.md + docs/)
api_captures/<protocol>/ Git-ignored raw API captures: request payloads + stream events
src_py/agenthub/<protocol>/ Python client, one folder per wire protocol
src_py/agenthub/auto_client.py Routes model names to protocol clients by explicit version
src_ts/src/<protocol>/ TypeScript client, mirrors the Python folder
src_ts/src/autoClient.ts TypeScript routing, mirrors auto_client.py
src_py/tests/test_client.py Parameterized e2e tests (env-gated AVAILABLE_MODELS)
src_ts/tests/client.test.ts Same for TypeScript
changelog/unreleased/ Where unshipped changes go; renamed to the version at release
changelog/<version>/ Release summary (README.md) plus one detail file per entry
changelog/README.md The entry format: metadata block, body rules, bilingual pairing
CHANGELOG.md One brief line per release linking into changelog/
<name>.zh.md Chinese counterpart, required for every file in changelog/
Stage 1 — Sync official docs into llmsdk_docs/
- Sources must be the model vendor's official documentation site (e.g. docs.anthropic.com, platform.openai.com, ai.google.dev). Never use third-party mirrors, blog posts, or model memory.
- Save the snapshot under
llmsdk_docs/<model_version>/following the existing folder conventions, and list the folder inllmsdk_docs/README.md. Running this workflow is the explicit request that the repository rule against editingllmsdk_docs/asks for. - When the fetched docs differ from an existing snapshot, the new official docs win: update the old files in place.
- The snapshot must be complete enough to implement from: request/response schemas, streaming event sequence, thinking output, tool calling, usage fields, and error responses.
- Stop and ask if the official URL is uncertain or a page cannot be fetched. The user can paste the content manually.
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.
- 1mo ago First seen · 93 lines · 69 tokens per session scan A 29829af1067d
agenthub-dev is a skill published in the GitHub repository Prism-Shadow/agenthub (113 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 3,508 once invoked, about $0.0003 per session on Opus 5.5. 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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