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 zilliztech/mfs --skill mfs-ingestgit clone --depth 1 https://github.com/zilliztech/mfsWrote 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/zilliztech/mfs/mfs-ingest)<a href="https://agentmods.dev/skills/zilliztech/mfs/mfs-ingest"><img src="https://agentmods.dev/badge/skills/zilliztech/mfs/mfs-ingest.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 259 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
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 | $0.00196 | $0.04902 |
| Opus 5 | $0.00098 | $0.02451 |
| Sonnet 5 | $0.00039 | $0.00980 |
| Haiku 4.5 | $0.00020 | $0.00490 |
Grade A, and why
mfs-ingest 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 8d 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MFS — register / update / re-sync data sources
1. What this skill does
Walks the user through getting a data source into MFS so it's searchable. The work splits into:
- Picking the right connector scheme.
- Collecting credentials (preferring
env:VAR/file:/pathindirection over plaintext). - Writing a connector TOML.
- Calling
mfs add <uri> --config <toml>and monitoring the returned job.
Each connector has its own field set, credential acquisition story, and
gotchas. Per-connector details live in
reference/connectors/<scheme>.md — read the matching one before
collecting fields for any scheme.
Step 0: Pre-flight (always run first)
mfs --version # missing? `cargo install mfs-cli` (see install row below)
mfs status # server reachable? connectors/jobs visible?
mfs config show # endpoint/profile/client id/server-info debugging
mfs connector list # what's already configured?
Branch on the result:
| Signal | Action |
|---|---|
mfs not found |
install the CLI (Rust): cargo install mfs-cli, or the shell installer from the project's GitHub releases page. |
mfs status connection refused |
the configured server is down. Tell the user how to bring it up — pre-release, the server runs from source: git clone https://github.com/zilliztech/mfs.git && cd mfs/server/python && uv sync && uv run mfs-server setup && uv run mfs-server run — and wait. Work only through the configured endpoint rather than pointing the CLI at a different server. |
mfs status returns 401 unauthorized |
the user's MFS_API_TOKEN is missing/wrong. Use mfs config show to confirm the endpoint/profile, then set the intended token source and retry. |
server up + connector list empty |
first-ever connector; jump to §B (greenfield walk-through) when intent matches |
| server up + N connectors registered | proceed to Step 1 intent classification |
Step 1: Classify intent (the central decision)
Read the user's most recent message. Pick exactly one row:
What ships with it
23 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.
- reference/connectors/bigquery.md 2.4 KB
- reference/connectors/discord.md 2.6 KB
- reference/connectors/feishu.md 3.6 KB
- reference/connectors/file.md 2.5 KB
- reference/connectors/gdrive.md 2.8 KB
- reference/connectors/github.md 3.0 KB
- reference/connectors/gmail.md 2.5 KB
- reference/connectors/hubspot.md 2.5 KB
- reference/connectors/jira.md 2.9 KB
- reference/connectors/linear.md 1.6 KB
- reference/connectors/mongo.md 2.2 KB
- reference/connectors/mysql.md 2.2 KB
- reference/connectors/notion.md 2.4 KB
- reference/connectors/postgres.md 4.3 KB
- reference/connectors/s3.md 2.9 KB
- reference/connectors/slack.md 3.9 KB
- reference/connectors/snowflake.md 3.6 KB
- reference/connectors/web.md 1.7 KB
- reference/connectors/zendesk.md 2.1 KB
- reference/credentials.md 5.0 KB
- reference/error-codes.md 1.8 KB
- reference/troubleshooting.md 11 KB
- reference/update-flow.md 5.5 KB
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.
- 8d ago First seen · 417 lines · 196 tokens per session scan A 8f30c1a781c2
mfs-ingest is a skill published in the GitHub repository zilliztech/mfs (137 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 196 tokens to every session and 4,902 once invoked, about $0.0010 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.
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