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 MSApps-Mobile/claude-plugins --skill knowledge-agentgit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsWrote 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/msapps-mobile/claude-plugins/knowledge-agent)<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/knowledge-agent"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/knowledge-agent/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/msapps-mobile/claude-plugins/knowledge-agent"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/knowledge-agent.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 | $0.00106 | $0.00547 |
| Opus 5.5 | $0.00042 | $0.00219 |
| Sonnet 5.5 | $0.00021 | $0.00109 |
| Haiku 4.5 | $0.00011 | $0.00055 |
Grade A, and why
knowledge-agent 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
knowledge-agent: Memory as Knowledge Base
Your memory DB contains decisions, insights, and notes from past sessions. Before answering questions from scratch, search it — you may have already figured this out.
Query Workflow
# 1. Semantic search for the concept
COWORK_MEM_DB=~/mnt/.claude/.cowork-mem/memory.db \
python3 {SKILL_DIR}/scripts/vector_search.py "<question>" --limit 8
# 2. Keyword search for specific terms
python3 {SKILL_DIR}/scripts/memory_store.py search "<key term>" --limit 5
# 3. Fetch full text for the most relevant results
python3 {SKILL_DIR}/scripts/memory_store.py get <id1> <id2>
Answering from Memory
After retrieving relevant observations:
- Synthesize, don't quote — distill what the observations say into a direct answer
- Cite the age — "We decided this 3 days ago" gives the user confidence in freshness
- Flag uncertainty — if observations are old or sparse, say so
- Update if stale — if the situation has clearly changed, save a new observation
When Memory Doesn't Know
If search returns nothing relevant:
- Answer from your general knowledge or by reading the codebase
- If you derive something new and useful, save it:
python3 {SKILL_DIR}/scripts/memory_store.py add insight \
"<what you learned>" --tags "<relevant,tags>"
Decision Archaeology
When the user asks "why did we do X this way?":
# Search specifically for past decisions
python3 {SKILL_DIR}/scripts/memory_store.py search "<X>" --type decision --limit 10
If you find a past decision, explain it with context. If you don't, note that "this decision isn't in memory — here's what I'd infer from the codebase."
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 · 61 lines · 106 tokens per session scan A a89d60ae33f8
knowledge-agent is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (10 stars, last pushed today), licensed MIT. It adds 106 tokens to every session and 547 once invoked, about $0.0004 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 2026-08-31.
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