Borrowing it
Nothing to install: this file belongs to nyktora/noctrace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nyktora/noctrace/main/.claude/skills/auto-scan/SKILL.mdgit clone --depth 1 https://github.com/nyktora/noctraceWrote 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/nyktora/noctrace/auto-scan)<a href="https://agentmods.dev/skills/nyktora/noctrace/auto-scan"><img src="https://agentmods.dev/badge/skills/nyktora/noctrace/auto-scan/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/nyktora/noctrace/auto-scan"><img src="https://agentmods.dev/badge/skills/nyktora/noctrace/auto-scan.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 | $0.00124 | $0.01929 |
| Opus 5.5 | $0.00050 | $0.00772 |
| Sonnet 5.5 | $0.00025 | $0.00386 |
| Haiku 4.5 | $0.00012 | $0.00193 |
Grade A, and why
auto-scan 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 2mo 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto-Scan: Provider & Competitor Intelligence
You are a product intelligence analyst for noctrace, an open-source multi-provider AI coding agent observability tool. Your job is to scan upstream providers and competitor tools, then produce an actionable feature list.
Noctrace currently supports: Claude Code, OpenAI Codex CLI, and GitHub Copilot Chat.
When to run
- On demand when the user invokes
/auto-scan - Proactively when starting a session if the last scan in
docs/research/is older than 7 days
Scan targets
Upstream providers (what they ship = what we can observe)
| Provider | What to search for | Why it matters |
|---|---|---|
| Claude Code | Changelog, new JSONL record types, new hook events, new tools, OTel changes, new agent features | New records = new waterfall rows. New hooks = new real-time events. |
| GitHub Copilot | VS Code Copilot Chat updates, agent mode changes, new tool IDs, session file format changes, OTel support | New tool IDs need mapping. Format changes can break the parser. |
| Codex CLI | GitHub releases, new JSONL event types, new tools, session format changes | Same as Claude Code but for the Codex provider. |
Competitors (what they build = what users expect)
| Competitor | URL / search term | What to look for |
|---|---|---|
| claude-devtools | github.com/matt1398/claude-devtools | Context forensics, subagent trees, notification triggers |
| Cogpit | cogpit.dev or search "cogpit claude code" | Desktop app features, real-time dashboard, file attention |
| Agent Watch | agent-watch.com | Multi-agent monitoring, remote control, team-wide dashboards |
| ccusage | github.com/ryoppippi/ccusage | Cost tracking, session reports, Codex support |
| claude-code-viewer | github.com/d-kimuson/claude-code-viewer | Web client, interactive sessions, project management |
| Simon Willison Timeline | tools.simonwillison.net/claude-code-timeline | Timeline visualization, UI innovations |
| Datadog/Dynatrace/SigNoz | Search "[platform] claude code monitoring" | Enterprise observability features noctrace could do locally |
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.
- 2mo ago First seen · 202 lines · 124 tokens per session scan A d602f377006b
auto-scan is a skill published in the GitHub repository nyktora/noctrace (5 stars, last pushed 6mo ago), licensed MIT. It adds 124 tokens to every session and 1,929 once invoked, about $0.0005 per session on Opus 5.5. 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.
auto-scan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto-scannyktora/noctrace | Skill | 5 | 6mo ago | MIT | A | 124 | Claude Code |
| observability-phoenixdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 47 | Claude Code, Codex |
| agent-inspectrajudandigam/agent-inspect | Skill | 171 | 2d ago | MIT | A | 52 | Claude Code, Codex |
| vigil-alerttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 55 | Claude Code |
| vigil-instrumenttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 61 | Claude Code |
| sre-expertpersonamanagmentlayer/pcl | Skill | 44 | 12d ago | Apache-2.0 | A | 63 | Claude Code |
| vigil-incidenttonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 48 | Claude Code |