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 ondrej-svec/heart-of-gold-toolkit --skill capturegit clone --depth 1 https://github.com/ondrej-svec/heart-of-gold-toolkitWrote 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/ondrej-svec/heart-of-gold-toolkit/capture)<a href="https://agentmods.dev/skills/ondrej-svec/heart-of-gold-toolkit/capture"><img src="https://agentmods.dev/badge/skills/ondrej-svec/heart-of-gold-toolkit/capture/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/ondrej-svec/heart-of-gold-toolkit/capture"><img src="https://agentmods.dev/badge/skills/ondrej-svec/heart-of-gold-toolkit/capture.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 | $0.00021 | $0.00873 |
| Opus 5.5 | $0.00008 | $0.00349 |
| Sonnet 5.5 | $0.00004 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00087 |
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 2mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/guide:capture — Daily Thought Capture
Capture what's on your mind — morning intentions or evening reflections.
A standalone skill for recording the user's thoughts, ideas, and reflections. Works independently — no pipeline dependency required.
How It Works
This skill captures the user's raw thoughts through gentle conversation, preserving the verbatim transcript alongside structured themes and connections.
AM vs PM Mode
The skill operates in two modes:
- AM (morning) — Focus on intentions, energy, and what's ahead. Ask about plans, priorities, and what's on their mind for the day. Auto-detect if the current time is before noon.
- PM (evening) — Focus on reflections, lessons, and what happened. Ask about wins, challenges, and what they learned. Auto-detect if the current time is after noon.
If the user doesn't specify AM or PM, auto-detect based on the current time of day (before noon = AM, after noon = PM).
Steps
- Read config from
content/config.yamlforoutput.captures_dir(fall back tocontent/captures/as default if config is missing) - Greet the user with a gentle prompt appropriate to the time of day
- Listen and explore — use gentle follow-up prompts to help the user go deeper:
- "What's behind that?"
- "How does that connect to what you've been thinking about?"
- "What would make today feel like a win?"
- "Is there something you're avoiding?"
- Preserve the raw transcript — keep the user's exact words, don't just summarize
- Extract themes and connections to previous captures or ongoing threads
- Save to
YYYY-MM-DD-am.mdorYYYY-MM-DD-pm.mdin the captures directory
Output Format
---
date: YYYY-MM-DD
mode: am|pm
themes: [theme1, theme2]
connections: [related captures or thoughts]
---
## Raw Capture
(Verbatim transcript of the conversation)
## Themes
- Theme 1: brief description
- Theme 2: brief description
## Connections
- Links to previous captures or thoughts that relate
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.
- 2mo ago First seen · 86 lines · 21 tokens per session scan A 3ea3c4623bbe
capture is a skill published in the GitHub repository ondrej-svec/heart-of-gold-toolkit (19 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 873 once invoked, about $0.0001 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 2026-08-30.
capture compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| captureondrej-svec/heart-of-gold-toolkit | Skill | 19 | 1mo ago | MIT | A | 21 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | today | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | today | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 0 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |