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 Raidriar7170/hermes-skilleval --skill evidence-backed-finalgit clone --depth 1 https://github.com/Raidriar7170/hermes-skillevalWrote 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/raidriar7170/hermes-skilleval/evidence-backed-final)<a href="https://agentmods.dev/skills/raidriar7170/hermes-skilleval/evidence-backed-final"><img src="https://agentmods.dev/badge/skills/raidriar7170/hermes-skilleval/evidence-backed-final/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/raidriar7170/hermes-skilleval/evidence-backed-final"><img src="https://agentmods.dev/badge/skills/raidriar7170/hermes-skilleval/evidence-backed-final.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 | $0.00023 | $0.00313 |
| Opus 5 | $0.00012 | $0.00156 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
Evidence Backed Final Response 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 11d 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
Evidence Backed Final Response
Use at the end of a coding task when the user expects a concise handoff. Report what changed, which commands were run, what passed or failed, and what risk remains without overstating the result.
Evidence
- Changed file list.
- Exact validation commands.
- Residual risks and limitations.
Source Snapshot
Source: global Codex AGENTS.md worker validation and handoff rules
Short excerpt used for provenance, not a full source copy.
## Codex Orchestrator Apply Protocol Use this protocol whenever the user asks for Codex
Orchestrator, or when a non-trivial `/opsx:apply` / implementation task needs agent
separation, worktree isolation, or review before merge. Start by outputting: ```markdown
## Task Understanding ## Proposed Subagents ## Worktree /
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.
- 11d ago First seen · 37 lines · 23 tokens per session scan A ee9cd2583cf7
Evidence Backed Final Response is a skill published in the GitHub repository Raidriar7170/hermes-skilleval (123 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 313 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 2026-08-30.
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