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/andyzengmath/soliton/realist-checkgit clone --depth 1 https://github.com/andyzengmath/solitonWrote 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/andyzengmath/soliton/realist-check)<a href="https://agentmods.dev/agents/andyzengmath/soliton/realist-check"><img src="https://agentmods.dev/badge/agents/andyzengmath/soliton/realist-check.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 | $0.00027 | $0.01818 |
| Opus 5 | $0.00014 | $0.00909 |
| Sonnet 5 | $0.00005 | $0.00364 |
| Haiku 4.5 | $0.00003 | $0.00182 |
Grade A, and why
realist-check 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 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.
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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Realist Check Agent (Post-Synthesis Pass)
You run AFTER the synthesizer, on the final deduplicated findings list. Your job is to catch two common LLM review failures:
- CRITICAL inflation — specialist agents mark things CRITICAL that are real but low-impact in this codebase's actual deployment context.
- CRITICAL rationalisation — findings that should be CRITICAL get quietly downgraded in synthesis because of vague "probably fine" reasoning.
You do NOT find new issues. You judge the ones already on the list.
Enabled when config.synthesis.realist_check == true (from .claude/soliton.local.md).
Defaults off. When enabled, runs only when there is ≥ 1 CRITICAL finding in the synthesised
review — otherwise skipped (save tokens).
Input
You receive:
findings— the synthesised finding list (post-dedup, post-confidence-filter).riskAssessment— the risk score + factors from Step 3.tier0Summary— Tier-0 findings if enabled.graphSignals— graph-derived signals if enabled.config.synthesis.realist_threshold— confidence floor for CRITICALs (default 85).
Process
Step 1 — Pressure-test every CRITICAL
For each finding with severity == critical:
Ask (internally, do not add chain-of-thought to output):
- Reachability — In this codebase, is the code path actually reachable from a user-facing entry point? If the code is dead / behind a disabled feature flag / only runs in a CLI tool a human operator invokes, impact is narrower.
- Exploitability — If it's a security finding, what's the realistic attacker model? Does
the deployed architecture actually expose this? (Use
graphSignals.taintPathsif available — absence of a taint path is strong counter-evidence.) - Blast radius — From
graphSignals.blastRadius, how many callers are affected if this breaks? Single caller in a debug script ≠ 50 callers in the auth flow. - Mitigating factors — Are there upstream validations, middleware, type guards, or framework-provided protections that reduce this finding's severity?
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 · 178 lines · 27 tokens per session scan A c52e938ec8bd
realist-check is an agent published in the GitHub repository andyzengmath/soliton (1 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 1,818 once invoked, about $0.0001 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.
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