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 skills/profsynapse/nexus/nexus-eval-harnessnpx skills add ProfSynapse/nexus --skill nexus-eval-harnessgit clone --depth 1 https://github.com/ProfSynapse/nexusWrote 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/profsynapse/nexus/nexus-eval-harness)<a href="https://agentmods.dev/skills/profsynapse/nexus/nexus-eval-harness"><img src="https://agentmods.dev/badge/skills/profsynapse/nexus/nexus-eval-harness.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 | $0.00096 | $0.01022 |
| Opus 5 | $0.00048 | $0.00511 |
| Sonnet 5 | $0.00019 | $0.00204 |
| Haiku 4.5 | $0.00010 | $0.00102 |
Grade A, and why
nexus-eval-harness 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 6d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nexus Eval Harness
Context: the harness under tests/eval/ drives the real production path —
StreamingOrchestrator plus tool continuation — with a mock or live tool
executor swapped in, and grades the tool calls a model emits. It is a fixture
system, and almost every surprising result is the fixture talking, not the
model. This skill owns the fixtures, the configs, the executors and the
reports.
Workflow
-
Pick the job and open its protocol. Work from the protocol; this router names procedures, it does not contain them.
Job Protocol Add a scenario, or fix one that grades wrongly protocols/add-a-scenario.mdWrite or change a config, choose targets, mode, retries protocols/configure-a-run.mdA run produced nothing, all-fails, a hang, or odd numbers protocols/debug-a-run.mdChange the executors, assertions, loader or reports protocols/extend-the-harness.md -
Derive every list from the tree, never from this skill. It names no scenarios, no configs, no models and no env-var table on purpose, and you MUST NOT add one — the harness gains knobs faster than a document survives.
ls tests/eval/scenarios/ tests/eval/configs/ grep -rhoE "get(Number|List)?Env\('[A-Z_]+'\)|process\.env\.[A-Z_]+" tests/eval/ \ | grep -oE "[A-Z][A-Z_]{3,}" | sort -u # every knob, including the # ones ConfigLoader mediates -
Before calling any scenario change done, run the checker from the repo root and fix everything it prints:
python3 .claude/skills/nexus-eval-harness/scripts/check_scenarios.py -
NEVER trust jest's exit code as the verdict on a run, and never report a pass rate you read from stdout. The saved reports under the configured artifacts dir are the only source of truth, and they are written even when the run times out — see
references/run-behavior.md. -
At the end of a session that used this skill, run
protocols/self-refine.md.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 242 B
- protocols/add-a-scenario.md 4.2 KB
- protocols/configure-a-run.md 4.2 KB
- protocols/debug-a-run.md 4.0 KB
- protocols/extend-the-harness.md 3.3 KB
- protocols/self-refine.md 2.0 KB
- references/harness-map.md 4.9 KB
- references/run-behavior.md 6.2 KB
- references/scenario-contract.md 7.4 KB
- refinement-log.md 2.7 KB
- scripts/check_scenarios.py 29 KB runs code
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.
- 6d ago First seen · 80 lines · 96 tokens per session scan A f9987c8f388f
nexus-eval-harness is a skill published in the GitHub repository ProfSynapse/nexus (154 stars, last pushed 3d ago), licensed MIT. It adds 96 tokens to every session and 1,022 once invoked, about $0.0005 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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