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 Prompthon-IO/agent-systems-handbook --skill personal-knowledge-capturegit clone --depth 1 https://github.com/Prompthon-IO/agent-systems-handbookWrote 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/prompthon-io/agent-systems-handbook/personal-knowledge-capture)<a href="https://agentmods.dev/skills/prompthon-io/agent-systems-handbook/personal-knowledge-capture"><img src="https://agentmods.dev/badge/skills/prompthon-io/agent-systems-handbook/personal-knowledge-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/prompthon-io/agent-systems-handbook/personal-knowledge-capture"><img src="https://agentmods.dev/badge/skills/prompthon-io/agent-systems-handbook/personal-knowledge-capture.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 | $0.00074 | $0.01145 |
| Opus 5 | $0.00037 | $0.00573 |
| Sonnet 5 | $0.00015 | $0.00229 |
| Haiku 4.5 | $0.00007 | $0.00114 |
Grade A, and why
personal-knowledge-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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
11 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.
- agents/openai.yaml 342 B
- course.json 118 B
- examples/expected-result.json 187 B
- README.md 6.6 KB
- references/persistence-contract.md 447 B
- references/safety-rules.md 556 B
- references/source-notes.md 1.1 KB
- references/supported-file-types.md 1.2 KB
- references/synthesis-rules.json 196 B
- scripts/course_knowledge.py 8.9 KB runs code
- scripts/personal_knowledge_capture.py 19 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.
- 6d ago Changed · +8 lines · -2 tokens per session 44ea2bd1b3b1
- 10d ago First seen · 124 lines · 76 tokens per session scan A d5ca8e469ad5
personal-knowledge-capture is a skill published in the GitHub repository Prompthon-IO/agent-systems-handbook (316 stars, last pushed 3d ago), with no licence file. It adds 74 tokens to every session and 1,145 once invoked, about $0.0004 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.
Other skills, from other repositories
hephaestus-network
Use when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM staffs each turn; the exact roster remains goal-bound until explicit completion.
routing-card-authoring
Use whenever a build emits or repairs .agentlas/routing-card.json — the shared card contract for the single-agent builder, the team builder, and the packager. States what belongs in every field, which fields the hub can actually match on, and which fields silently break matching when a sentence leaks into them.
hep-storm
Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
hephaestus-upload
Use when the user types $hephaestus-upload, /hep-upload, or /agentlas-upload, or asks to upload, publish, or list an Agentlas agent or team. Ask Cloud (private) vs Agentlas Hub (public) FIRST, then publish through the bundled Hephaestus gate.
hep-graph
Build an Agentlas automation by describing it, list saved ones, or request a run.
hep-network
Staff a task from registered Local, owner Cloud, and public Hub agents.