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 agentmods add skills/falconerai/agent-integrations/falconer-knowledgenpx skills add FalconerAI/agent-integrations --skill falconer-knowledgegit clone --depth 1 https://github.com/FalconerAI/agent-integrationsWrote 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/falconerai/agent-integrations/falconer-knowledge)<a href="https://agentmods.dev/skills/falconerai/agent-integrations/falconer-knowledge"><img src="https://agentmods.dev/badge/skills/falconerai/agent-integrations/falconer-knowledge.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00329 |
| Opus 5 | $0.00025 | $0.00164 |
| Sonnet 5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
falconer-knowledge 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.
What it actually says
Falconer Knowledge
Use Falconer MCP tools to read, search, create, and update Falconer documents. Falconer document content is Markdown with Falconer-specific extensions. Preserve existing syntax exactly unless the user explicitly asks to change it.
Core rules
- Preserve inline references exactly:
![f>][reference-id]. - Preserve legacy inline references exactly:
![f>][display text][reference-id]. - Do not invent Falconer reference IDs.
- Prefer targeted content tools over whole-document overwrite.
- Use
upload_mediabefore inserting local image or video content. - Ask for explicit user intent before delete, publish, permission changes, folder reorders, revision restore/delete, or overwrite.
- Inspect navigation placement before moving documents or folders.
Formatting
For Falconer-specific Markdown and rich components, read references/falconer-formatting.md when drafting or editing document content.
Editing workflow
- Read the relevant document before editing.
- Preserve references, math, tables, task lists, diagrams, callouts, and rich blocks unless the requested change requires modifying them.
- Use targeted replace, insert, or delete tools when possible.
- Use overwrite only when the user clearly asks for a full rewrite or replacement.
- After editing, summarize the material change and call out any risky operation performed.
What ships with it
1 file 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.
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 · 31 lines · 50 tokens per session scan A 2dcee52424d9
falconer-knowledge is a skill published in the GitHub repository FalconerAI/agent-integrations (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 329 once invoked, about $0.0003 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 2026-08-31.
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