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 nguyenthienthanh/aura-frog --skill reasoning-trace-recordergit clone --depth 1 https://github.com/nguyenthienthanh/aura-frogWrote 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/nguyenthienthanh/aura-frog/reasoning-trace-recorder)<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/reasoning-trace-recorder"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/reasoning-trace-recorder/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/nguyenthienthanh/aura-frog/reasoning-trace-recorder"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/reasoning-trace-recorder.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 | $0.00068 | $0.00399 |
| Opus 5 | $0.00034 | $0.00199 |
| Sonnet 5 | $0.00014 | $0.00080 |
| Haiku 4.5 | $0.00007 | $0.00040 |
Grade A, and why
reasoning-trace-recorder 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 7d 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
Reasoning Trace Recorder
Forensic reproducibility. Append-only; never calls an LLM, never edits plan files or prunes traces.
Behavior
- Detect: no
.claude/plans/active.json, oractive.tasknull, orAF_TRACE_DISABLED=true→ exit silently - Append one JSON line per emitted event to
.claude/plans/traces/{TASK_ID}.jsonl(one file per T4 task)
Event types
file_read · output_claim (with grounded: bool + grounded_by) · tool_call · tool_result · decision · phase_transition.
Grounding rule (spec §11.1): an output_claim is grounded when ≥1 prior file_read in the same trace covers the named file/function/symbol. Ungrounded claims are flagged and surfaced via /aura-frog:trace --hallucinations.
Budget
≤500 events per task target; >1000 events → trace_overflow flag via post-execute-update-node hook.
Detail (JSON schema, per-type payload fields, tie-ins): skills/reasoning-trace-recorder/reference.md — load on demand only.
What ships with it
1 file 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.
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.
- 7d ago First seen · 31 lines · 68 tokens per session scan A 96893e090616
reasoning-trace-recorder is a skill published in the GitHub repository nguyenthienthanh/aura-frog (24 stars, last pushed 6d ago), licensed MIT. It adds 68 tokens to every session and 399 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
biome
Biome formatting and linting standards. Use when configuring Biome (biome.json) for fast formatting, linting, and sorting imports. NOT for Prettier or ESLint configuration. Do NOT trigger for generic formatting/linting tasks unless Biome is explicitly requested.
adversarial-performance
Multi-pass adversarial performance audit for entire repositories. Combines structured profiling (Agent A) with adversarial stress-testing critique (Agent B) through iterative passes. Optimize repo/backend performance, hot-paths, build size, and server throughput. Do NOT use for frontend page load metrics or Lighthouse…
autonomous-dev
Harness for autonomous software development. Use when fixing or remediating known issues (including security vulnerabilities). Enforces lifecycle through alignment gates (PROJECT.md), adversarial generator/evaluator agents, and autonomous orchestration of project issues. NOT for setting up standalone CI/CD pipelines.
debugger-coordinator
Use when debugging complex issues involving multiple modalities (frontend + backend, API + UI, terminal + browser). Coordinates Hermes Agent's built-in debugger, browser, terminal, and vision tools for systematic root-cause analysis.
gsd-debug
Systematic debugging with persistent state across context resets.
gsd-ns-review
Route to the appropriate quality / review skill based on the user's intent. gsd-code-review-fix was absorbed by gsd-code-review --fix in #2790.