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 agents/0xsardius/solenrich/test-endpointsgit clone --depth 1 https://github.com/0xSardius/solenrichWrote 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/agents/0xsardius/solenrich/test-endpoints)<a href="https://agentmods.dev/agents/0xsardius/solenrich/test-endpoints"><img src="https://agentmods.dev/badge/agents/0xsardius/solenrich/test-endpoints.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 | $0.00045 | $0.00833 |
| Opus 5 | $0.00023 | $0.00417 |
| Sonnet 5 | $0.00009 | $0.00167 |
| Haiku 4.5 | $0.00005 | $0.00083 |
Grade A, and why
test-endpoints scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST $BASE/entrypoints/$KEY/invoke \ The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 90 lines · 45 tokens per session scan A b9e4440a70aa
test-endpoints is an agent published in the GitHub repository 0xSardius/solenrich (2 stars, last pushed yesterday), with no licence file. It adds 45 tokens to every session and 833 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
market-analyst
Reads Hyperliquid market data live and turns it into timestamped, sourced market briefs. Read-only.
research-analyst
Fundamentals, news, catalysts, onchain and social context for anything the desk trades. Read-only, source-led, sceptical.
desk-lead
Runs the Hyperliquid trading desk. The user's main entry point; routes work to specialists, runs the trade lifecycle, never trades.
chainaware-cohort-analyzer
Segments a batch of wallets into behavioral cohorts using ChainAware's Behavioral Prediction MCP. Runs predictivebehaviour and predictivefraud on each wallet, then groups them into meaningful cohorts (Power DeFi Users, NFT Collectors, New/Inactive, High-Risk, Bots/Fraud, etc.) with cohort statistics and a recommended…
chainaware-token-launch-auditor
Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…
chainaware-upsell-advisor
Identifies the best upsell opportunity for an existing user based on their current product tier and on-chain behaviour using ChainAware's Behavioral Prediction MCP. Returns the specific next product to offer, an upgrade readiness score, a conversion probability, the optimal trigger event, and a one-line upsell…