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 elevanaltd/HestAI-MCP --skill raph-reasoninggit clone --depth 1 https://github.com/elevanaltd/HestAI-MCPWrote 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/elevanaltd/hestai-mcp/raph-reasoning)<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/raph-reasoning"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/raph-reasoning/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/elevanaltd/hestai-mcp/raph-reasoning"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/raph-reasoning.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00256 |
| Opus 5 | $0.00000 | $0.00128 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
raph-reasoning 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 7d 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
===SKILL:RAPH_REASONING=== META: TYPE::SKILL VERSION::"1.0" PURPOSE::"Sequential reasoning and quantified receipts protocol: READ → ABSORB → PERCEIVE → HARMONISE"
§1::PROTOCOL PHASES::[ 1_READ::[ GOAL::"Extract facts without interpretation", RECEIPT::"✓ READ complete: {n facts found}" ], 2_ABSORB::[ GOAL::"Identify relationships and dependencies", RECEIPT::"✓ ABSORB complete: {A relates to B}" ], 3_PERCEIVE::[ GOAL::"Map to patterns and frameworks", RECEIPT::"✓ PERCEIVE complete: {Pattern X identified}" ], 4_HARMONISE::[ GOAL::"Integrate capabilities into approach", RECEIPT::"✓ HARMONISE complete: integration ready" ] ]
§2::MANDATORY_RECEIPTS RULE::"Each phase MUST emit a single-line receipt beginning with '✓ {PHASE} complete:'" BENEFIT::"Prevents validation theater by proving cognitive processing occurred"
===END===
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.
- 7d ago First seen · 32 lines · 0 tokens per session scan A 96599fdea7ea
raph-reasoning is a skill published in the GitHub repository elevanaltd/HestAI-MCP (0 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 256 tokens. 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 2026-09-03.
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