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 ouestcharlie/ouestcharlie-woof --skill sort-enrich-photos-stravagit clone --depth 1 https://github.com/ouestcharlie/ouestcharlie-woofWrote 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/ouestcharlie/ouestcharlie-woof/sort-enrich-photos-strava)<a href="https://agentmods.dev/skills/ouestcharlie/ouestcharlie-woof/sort-enrich-photos-strava"><img src="https://agentmods.dev/badge/skills/ouestcharlie/ouestcharlie-woof/sort-enrich-photos-strava/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/ouestcharlie/ouestcharlie-woof/sort-enrich-photos-strava"><img src="https://agentmods.dev/badge/skills/ouestcharlie/ouestcharlie-woof/sort-enrich-photos-strava.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 | $0.02467 |
| Opus 5.5 | $0.00054 | $0.00987 |
| Sonnet 5.5 | $0.00027 | $0.00493 |
| Haiku 4.5 | $0.00013 | $0.00247 |
Grade A, and why
sort-enrich-photos-strava 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 29d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sorting photos against an activity log
The log knows what they did and when; photos carry timestamps. That's enough to file and caption with almost no human input — which is what makes it worth automating, and what makes it dangerous: a wrong rule moves hundreds of files confidently.
So: propose a complete plan, get approval, execute, verify.
This covers what the log can explain, typically ~15% of a camera roll. The rest
is the sort-enrich-photos-interactive-clusters skill.
Conventions come from the library
No settings file. Tunable knobs and per-run decisions live in
scripts/sort_photos.py — read it before filling it in; the comments explain
each field.
Everything else comes from looking at the library:
- Copy the folder layout already in use. Don't assume a shape — it might be
<year>/<date>_<place>/,Events/<name>/, or a flat pile. The script takes a literal relative path of any depth, so any layout works. Sample a few places; conventions drift over years. - Read the tag facets before inventing a tag. This is how you avoid
Climbingnext to an establishedRockClimbing.
Tags can be hierarchical: levels separated by |, e.g. Places|Canada|Ontario
or Activities|Hiking — the darktable and Lightroom convention. A search for
Places|Canada finds everything below it, and a search for Ontario finds it at
any level. Matching ignores case, and the scripts never add a tag the sidecar
already has in another case: they keep the existing spelling. Facet keys are paths, ancestors included, so the facets show which
hierarchy the library already uses. Put a new tag under an existing root rather
than starting a parallel tree; keep hierarchies short and stable, and don't
invent deep trees nobody asked for. A flat tag is fine when the library has no
hierarchy for it.
Nothing to copy — empty library, first sort — means proposing two or three concrete shapes with examples and confirming once. It's the hardest decision to undo: a thousand files under a disliked scheme is a thousand files to move again.
What ships with it
4 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.
- 29d ago Changed · +19 lines f4eb2ee8cded
- 2mo ago First seen · 197 lines · 134 tokens per session scan A ca1221973d9c
sort-enrich-photos-strava is a skill published in the GitHub repository ouestcharlie/ouestcharlie-woof (8 stars, last pushed 2d ago), licensed MIT. It adds 134 tokens to every session and 2,467 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.
sort-enrich-photos-strava compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sort-enrich-photos-stravaouestcharlie/ouestcharlie-woof | Skill | 8 | 2d ago | MIT | A | 134 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |