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 digital-stoic-org/agent-skills --skill capturegit clone --depth 1 https://github.com/digital-stoic-org/agent-skillsWrote 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/digital-stoic-org/agent-skills/capture)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/capture"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/capture.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00013 | $0.00754 |
| Opus 5 | $0.00006 | $0.00377 |
| Sonnet 5 | $0.00003 | $0.00151 |
| Haiku 4.5 | $0.00001 | $0.00075 |
Grade A, and why
capture 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 4d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTD Capture
Fast append to inbox. No priority, no routing — just capture.
Steps
- Take
$ARGUMENTSas item text. - Clean URLs — if the item contains a URL, strip tracking params (see below).
- Read
/praxis/gtd/01-inbox.md. If missing → error (see below). - Find the
### Newsection. If missing → error. - Insert with Edit, newest-first (after the header, before existing items):
- old_string:
### New - new_string:
### New\n- [ ] <cleaned item> [created:: TODAY] TODAY= today's date asYYYY-MM-DD.
- old_string:
- Report:
Captured: <item>.
Example — capture "buy milk" on 2026-05-23:
### New
- [ ] buy milk [created:: 2026-05-23]
- [ ] existing item [created:: 2026-05-20]
URL Cleaning
If the item contains a URL, strip these query params (case-insensitive key):
| Group | Params |
|---|---|
| Analytics | utm_* (any utm_-prefixed key) |
| Ad/click IDs | fbclid gclid gbraid wbraid msclkid dclid yclid twclid ttclid |
| Email/marketing | mc_eid mc_cid _hsenc _hsmi vero_id vero_conv oly_anon_id oly_enc_id mkt_tok |
| Social/referral | igshid ref ref_src ref_url source spm |
| Platform | si (YouTube/Spotify share token) feature (YouTube) |
Rules: remove only listed keys; keep all other params (id q v page t, etc.); drop a trailing ? if no params remain; preserve path + #fragment; leave non-URL text untouched.
https://example.com/article?utm_source=nl&utm_medium=email&id=42&fbclid=abc
→ https://example.com/article?id=42
https://youtu.be/dQw4w9WgXcQ?si=Xy12&t=30
→ https://youtu.be/dQw4w9WgXcQ?t=30
Triggers
- Direct:
/gtd:capture buy milk·/gtd:capture call John about project - Natural language: "add buy milk to inbox" · "capture: need to call John" · "inbox: review quarterly goals"
Notes
- Append as-is — no flags, no parsing, no priority sorting (that's triage).
- Empty
### Newis fine. Preserve all other sections unchanged.
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.
- 4d ago First seen · 71 lines · 13 tokens per session scan A 5a8e860d896c
capture is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 754 once invoked, about $0.0001 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 2026-09-04.
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