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 skills add hive-intel/hive-sdk --skill hive-token-diligencegit clone --depth 1 https://github.com/hive-intel/hive-sdkWrote 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/hive-intel/hive-sdk/hive-token-diligence)<a href="https://agentmods.dev/skills/hive-intel/hive-sdk/hive-token-diligence"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-token-diligence/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/hive-intel/hive-sdk/hive-token-diligence"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-token-diligence.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 | $0.00147 | $0.01521 |
| Opus 5 | $0.00073 | $0.00760 |
| Sonnet 5 | $0.00029 | $0.00304 |
| Haiku 4.5 | $0.00015 | $0.00152 |
Grade A, and why
hive-token-diligence 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 10d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hive-token-diligence — Token Diligence
Build a provenance-aware diligence picture of one token: identity, market context, liquidity, holders, enrichment, and risk. Never answer from model memory when the conclusion depends on live data.
Task toolset and identifiers
Toolset: token_diligence. Read hive://toolsets/token_diligence before
execution; it is authoritative for the current output schema, material-call
budget, phases, fallback condition, and stop conditions.
- Required: chain/network plus exact token contract or provider-specific token id.
- Optional: quote token, pool address, holder wallet, time window.
If the user gives only a ticker or name, resolve the exact contract before execution. Tickers collide across chains, and scam tokens deliberately reuse well-known names — an answer keyed to the wrong contract is worse than no answer.
Before choosing endpoints, select exactly one matching entry from the exact workflow's routes[]. Follow its ordered steps, use a fallback only under that step's published condition, stop at four material calls, and preserve the selected route_id in the typed result. The broad coverageCatalog is discovery coverage, not an execution plan.
Procedure
- Resolve chain and contract from the prompt, or ask for them.
- Call
search_toolsfor token metadata, market, holder, DEX liquidity, and risk capabilities matching the question. - Call
get_api_endpoint_schemafor each endpoint before calling it. - Call
invoke_api_endpointwith schema-valid, bounded arguments. - Start with metadata and market/liquidity checks. Add holder distribution and enrichment only when the user needs depth, and security/risk checks when the user asks whether to trade, approve, or trust the token.
- For supply-dilution or unlock questions, use CoinGecko supply breakdown and circulating/total supply charts when the configured plan permits them. Report a plan gate instead of substituting market-cap fields.
Bounded calls
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.
- 10d ago First seen · 143 lines · 147 tokens per session scan A fa3ea7adea7c
hive-token-diligence is a skill published in the GitHub repository hive-intel/hive-sdk (18 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 1,521 once invoked, about $0.0007 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.
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