Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. 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/Orinks/AccessiWeather/main/.codex/skills/trace/SKILL.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/orinks/accessiweather/trace)<a href="https://agentmods.dev/skills/orinks/accessiweather/trace"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/trace/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/orinks/accessiweather/trace"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/trace.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 | $0.00013 | $0.00224 |
| Opus 5.5 | $0.00005 | $0.00090 |
| Sonnet 5.5 | $0.00003 | $0.00045 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
trace 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 1mo 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
Agent Flow Trace
[TRACE MODE ACTIVATED]
Objective
Display the flow trace showing how hooks, keywords, skills, agents, and tools interacted during this session.
Instructions
-
Use
trace_timelineMCP tool to show the chronological event timeline- Call with no arguments to show the latest session
- Use
filterparameter to focus on specific event types (hooks, skills, agents, keywords, tools, modes) - Use
lastparameter to limit output
-
Use
trace_summaryMCP tool to show aggregate statistics- Hook fire counts
- Keywords detected
- Skills activated
- Mode transitions
- Tool performance and bottlenecks
Output Format
Present the timeline first, then the summary. Highlight:
- Mode transitions (how execution modes changed)
- Bottlenecks (slow tools or agents)
- Flow patterns (keyword -> skill -> agent chains)
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.
- 1mo ago First seen · 34 lines · 13 tokens per session scan A 926739d5c00e
trace is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 224 once invoked, about $0.0001 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 2026-08-30.
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