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 atman-33/workhub --skill team-kb-savegit clone --depth 1 https://github.com/atman-33/workhubWrote 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/atman-33/workhub/team-kb-save)<a href="https://agentmods.dev/skills/atman-33/workhub/team-kb-save"><img src="https://agentmods.dev/badge/skills/atman-33/workhub/team-kb-save/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/atman-33/workhub/team-kb-save"><img src="https://agentmods.dev/badge/skills/atman-33/workhub/team-kb-save.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 | $0.00055 | $0.00444 |
| Opus 5.5 | $0.00022 | $0.00178 |
| Sonnet 5.5 | $0.00011 | $0.00089 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
team-kb-save 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 1mo 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.
What it actually says
Save knowledge to the team KB
Persist one piece of reusable team knowledge into
<teamRoot>/ai/knowledge/ so teammates and future sessions can find it.
Scope test (before writing)
Save here only what helps other people on the team: process know-how, decision rationale, domain knowledge, working agreements. Route elsewhere:
- Repo-specific technical rules → that repo's
.claude/rules/(capture-rule). - Personal/machine-local facts → auto-memory.
- One-off session context → nowhere.
Steps
- Resolve the KB root from
<team-context>(or.claude/team-context.json). - Pick the topic folder under
knowledge/— reuse an existing topic (checkknowledge/_index.md) before creating a new kebab-case one. Team rules go torules/, newcomer material toonboarding/. - Write one focused note (
<slug>.md), in the team content language (<content-language>from the context):- A title, 2–20 lines of body, and a
## Whyline when the value is the rationale. - Never overwrite an existing note to say something different — append a dated section or create a new note and link it.
- A title, 2–20 lines of body, and a
- Update indexes: add a one-line entry to the topic's
_index.md(and toknowledge/_index.mdif the topic is new). For a larger reshuffle, invoketeam-kb-indexinstead. - Log it: append to
_meta/activity-log.md:- <date> [<agent>/<me>] team-kb-save: added knowledge/<topic>/<slug>.md. - Confirm to the user with the saved path.
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.
- 1mo ago First seen · 38 lines · 55 tokens per session scan A 1f187d260a35
team-kb-save is a skill published in the GitHub repository atman-33/workhub (3 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 444 once invoked, about $0.0002 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 2026-09-03.
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