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 tonydzi/second-brain-starter-kit --skill secrets-in-file-metadatagit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/secrets-in-file-metadata)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/secrets-in-file-metadata"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/secrets-in-file-metadata/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/tonydzi/second-brain-starter-kit/secrets-in-file-metadata"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/secrets-in-file-metadata.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 | $0.00099 | $0.03817 |
| Opus 5.5 | $0.00040 | $0.01527 |
| Sonnet 5.5 | $0.00020 | $0.00763 |
| Haiku 4.5 | $0.00010 | $0.00382 |
Grade A, and why
secrets-in-file-metadata 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 12d 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.
This is a copy
89% identical to secrets-in-file-metadata — 25 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secrets in file metadata
The fastest lead in an investigation is often already inside the file: GPS to six decimal places, a camera serial that ties four "unrelated" images to one body, a document author who is a real employee, a template path containing a corporate share name.
Two things beginners get wrong. Absent metadata is not suspicious — it is the normal state of anything that passed through a social platform. And present metadata is not proof: every tag is a claim written by whatever software touched the file last, and all of it is editable with one command.
Where to look first, given what you have
| You have | Reach for | Because |
|---|---|---|
| A photo downloaded from a social platform | Expect nothing | Delivery pipelines re-encode. Use find-the-original-image to reach an un-stripped upstream copy. |
| A photo from a forum, CMS, or direct file link | Full exiftool dump | These serve your bytes back. GPS survives here more often than people expect. |
| A messaging attachment | Full dump, and note how it was sent | Sent-as-photo is usually re-encoded; sent-as-file usually is not. |
| A folder from one source | exiftool -r -csv triage |
You want the [человек], and the tags shared across files. |
| A DOCX/XLSX/PPTX | exiftool, then unzip the container | Tracked changes, comment authors, revision identifiers and embedded images with intact EXIF are not surfaced by exiftool. |
| A PDF | exiftool, then a structural parser | Producer strings, incremental revisions, embedded files and images with their own metadata. |
| A press or agency photo | IPTC and XMP blocks specifically | Newsroom workflows write caption, credit, named persons and location there, and it often survives when EXIF does not. |
| A RAW or HEIC straight off a device | Full dump including MakerNotes | The richest case: serials, shutter counts, lens data, sub-second timing. |
| A video | exiftool plus ffprobe |
Container creation time, encoder string, per-track metadata, embedded GPS tracks. |
What ships with it
2 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.
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.
- 12d ago Changed · -1 lines 5d6fac73b1db
- 17d ago First seen · 260 lines · 99 tokens per session scan A a0b2c26016b1
secrets-in-file-metadata is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (9 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 3,817 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to secrets-in-file-metadata, differing in 25 lines, and is treated as a copy.
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