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 athola/claude-night-market --skill night-market-research-frontiergit clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/athola/claude-night-market/night-market-research-frontier)<a href="https://agentmods.dev/skills/athola/claude-night-market/night-market-research-frontier"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/night-market-research-frontier/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/athola/claude-night-market/night-market-research-frontier"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/night-market-research-frontier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 189 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00042 | $0.05563 |
| Opus 5 | $0.00021 | $0.02781 |
| Sonnet 5 | $0.00008 | $0.01113 |
| Haiku 4.5 | $0.00004 | $0.00556 |
Grade A, and why
night-market-research-frontier 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 13d 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 — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Night Market Research Frontier
This file lists the open problems where this repository holds assets that the published state of the art does not. SOTA (state of the art) here means the best result shipped or published anywhere, not the best result in this repo. Every entry is a candidate. Nothing below is a claimed capability, and citing this file as evidence that a capability exists is an error.
Read this skill when choosing what research bet to place next, when framing an experiment, or when someone asks "what could this project contribute beyond itself?"
Ground rules
Follow these before starting any problem below.
- Everything here stays labeled open or candidate until it clears the repo evidence bar: one mechanism must explain all observations including negatives, the hypothesis must predict numbers before the run, and the generator is never its own judge. The pipeline from hunch to accepted result is night-market-research-methodology.
- Experiments are changes. They go through the same gates as any other change (night-market-change-control). This skill authorizes no shortcuts.
- When a problem produces an accepted result, write the dated synthesis
in
docs/research/, update the changelog, and remove or re-scope the entry here. A frontier list that never shrinks is a wish list.
Problem index
| # | Problem | Primary repo asset | Status |
|---|---|---|---|
| 1 | Completion integrity in autonomous loops | egregore gate + herald judge + imbue verifier-integrity | Open, active campaign |
| 2 | Skill-graph governance at scale | forced-eval activation harness + ratchets | Open |
| 3 | Collective memory across context resets | ADR-0007 Discussions + memory-palace | Open, partially blocked |
| 4 | Insight-palace bridge under a hook budget | Draft spec v0.1.0 + hook infrastructure | Open, spec drafted |
| 5 | Behavioral contract attestation | ADR-0008 SLSA path + trust workflow | Open |
| 6 | Continuation for autonomous loops | egregore night-run driver + watchdog + bounded Stop hook | Open, cost baseline measured |
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.
- 13d ago First seen · 484 lines · 42 tokens per session scan A d5201cdd76c9
night-market-research-frontier is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 5,563 once invoked, about $0.0002 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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