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 tdimino/claude-code-minoan --skill reverse-tracegit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/reverse-trace)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/reverse-trace"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/reverse-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/tdimino/claude-code-minoan/reverse-trace"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/reverse-trace.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 | $0.00134 | $0.00940 |
| Opus 5 | $0.00067 | $0.00470 |
| Sonnet 5 | $0.00027 | $0.00188 |
| Haiku 4.5 | $0.00013 | $0.00094 |
Grade A, and why
reverse-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 8d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Trace
Identify the source of images and videos by running multiple reverse search APIs in parallel and synthesizing results into a confidence-ranked report. Each engine contributes a different signal — web entity matching, AI geolocation, multimodal LLM identification — and the orchestrator merges them because no single API reliably covers all identification scenarios.
Prerequisites
At least one API credential must be set. Missing keys cause the orchestrator to skip that engine, not crash.
| Engine | Env Var | Free Tier | Signal |
|---|---|---|---|
| Google Vision | GOOGLE_APPLICATION_CREDENTIALS or ADC |
1K/mo | Web entities, matching pages, similar images, best-guess labels |
| Picarta (geospy) | PICARTA_API_KEY or GEOSPY_API_KEY |
Yes | Lat/lng, city, country, confidence score |
| Gemini | GOOGLE_API_KEY or GEMINI_API_KEY |
Yes | Media type, title, season/episode, characters, actors |
To set up Vision ADC: gcloud auth application-default login
Workflow
Full pipeline (recommended default)
Run rt_trace.py to execute all available engines in parallel. For video input, keyframes are extracted first via ffmpeg.
python3 scripts/rt_trace.py image.jpg
python3 scripts/rt_trace.py video.mp4 --max-frames 3
python3 scripts/rt_trace.py image.jpg --json
python3 scripts/rt_trace.py image.jpg --skip geospy
python3 scripts/rt_trace.py image.jpg --engines vision gemini
Individual engines
Use a single engine when only one type of identification is needed, to conserve API quota, or to debug a specific engine's output.
python3 scripts/rt_vision.py image.jpg # Web entities + matching pages
python3 scripts/rt_geospy.py photo.jpg --top-k 3 # AI geolocation
python3 scripts/rt_gemini.py frame.jpg # LLM media identification
python3 scripts/rt_extract.py video.mp4 --keyframes # Frame extraction only
Engine selection guide
| Goal | Engines to use | Why |
|---|---|---|
| Identify TV show / movie | gemini + vision |
Gemini recognizes characters from training data; Vision finds matching web pages that name the episode |
| Find where an image was published | vision |
Web Detection returns pages hosting the image with titles and URLs |
| Geolocate a photo | geospy |
Picarta AI geolocation from visual cues (architecture, vegetation, signage) |
| Full automated identification | rt_trace.py (all) |
Parallel execution, merged synthesis, confidence ranking |
What ships with it
9 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.
- README.md 4.6 KB
- references/expansion-roadmap.md 2.4 KB
- requirements.txt 69 B
- scripts/rt_extract.py 4.2 KB runs code
- scripts/rt_gemini.py 5.0 KB runs code
- scripts/rt_geospy.py 4.1 KB runs code
- scripts/rt_trace.py 12 KB runs code
- scripts/rt_vision.py 4.9 KB runs code
- scripts/test_rt.py 5.9 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.
- 8d ago First seen · 77 lines · 134 tokens per session scan A 1b712828e49d
reverse-trace is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 134 tokens to every session and 940 once invoked, about $0.0007 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.
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