Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/vladmdgolam/agent-skills/time-lens)<a href="https://agentmods.dev/skills/vladmdgolam/agent-skills/time-lens"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/time-lens/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/vladmdgolam/agent-skills/time-lens"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/time-lens.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 | $0.00108 | $0.06926 |
| Opus 5 | $0.00054 | $0.03463 |
| Sonnet 5 | $0.00022 | $0.01385 |
| Haiku 4.5 | $0.00011 | $0.00693 |
Grade A, and why
time-lens 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.
How it starts
The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Time Tracker
Combines five data sources → reconciles → produces HTML dashboard + Markdown report.
Scripts
All scripts live in scripts/ next to this SKILL.md. Run them with python3:
| Script | Purpose | Key flags |
|---|---|---|
git_sessions.py |
Parse git history → sessions → hours | <repo> --since YYYY-MM-DD --until YYYY-MM-DD [--raw] |
wakatime_fetch.py |
WakaTime API → daily hours, filtered to project | --start YYYY-MM-DD --end YYYY-MM-DD --project name |
claude_messages.py |
Claude Code user prompts + activity timestamps per day | --project-path /abs/path or --filter name |
codex_messages.py |
Codex CLI user prompts + activity timestamps per day | --project-path /abs/path or --filter name |
cursor_messages.py |
Cursor IDE user prompts + activity timestamps per day | --project-path /abs/path or --filter name |
reconcile.py |
Merges the JSON output of the scripts above into a single hour estimate, with an optional supervised-vs-unattended split | --git f.json --claude f.json --codex f.json --since Y-M-D --until Y-M-D [--gap-hours 0.5] [--presence-window-min 10] [--tz Area/City] [--daily] |
claude_messages.py, codex_messages.py, and cursor_messages.py each output two timestamp arrays: timestamps (user prompts only — for prompt-count metrics) and activity_timestamps (every timestamped event, including tool-call/tool-result cycles and assistant replies — use this one for reconciliation). See "Use activity_timestamps, not timestamps" in references/reconciliation.md for why this distinction matters — using prompt-only timestamps for hour reconciliation silently drops real work time.
Use reconcile.py instead of hand-rolling the merge in Python. It's a deterministic implementation of the algorithm below — run it on the JSON files the other scripts already produced rather than re-deriving the merge/sessionize/intersect logic inline each time. Hand-rolling it live is exactly how a real bug happened once: two different gap-threshold runs (15min vs 30min "engine time") got compared against each other as if they were the same base, producing a nonsensical number. reconcile.py fixes the gap threshold and presence window as explicit flags so every run is reproducible and comparable.
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.
- references/data-sources.md 10 KB
- references/folder-move-detection.md 4.2 KB
- references/reconciliation.md 10 KB
- scripts/claude_messages.py 11 KB runs code
- scripts/codex_messages.py 7.1 KB runs code
- scripts/cursor_messages.py 17 KB runs code
- scripts/git_sessions.py 5.2 KB runs code
- scripts/reconcile.py 11 KB runs code
- scripts/wakatime_fetch.py 6.0 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.
- 7d ago Changed · +16 lines 47e9f574e120
- 11d ago First seen · 388 lines · 108 tokens per session scan A a6ca6f0186a7
time-lens is a skill published in the GitHub repository vladmdgolam/agent-skills (8 stars, last pushed 3d ago), licensed MIT. It adds 108 tokens to every session and 6,926 once invoked, about $0.0005 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 2026-08-30.
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