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 commands/geckse/markdown-vdb/infogit clone --depth 1 https://github.com/geckse/markdown-vdbWhat 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 | $0.00015 | $0.00813 |
| Opus 5 | $0.00008 | $0.00407 |
| Sonnet 5 | $0.00003 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
info 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 2d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mdvdb info
Show statistics for the whole collection, a folder, or a configured Shard. The command compares Markdown files on disk with the current index and estimates the work required to reindex the selected scope.
Usage
mdvdb info [OPTIONS] [PATH]
Arguments and options
| Name | Default | Description |
|---|---|---|
[PATH] |
. |
Relative folder to inspect |
--shard <ID> |
Inspect the folder configured for a named Shard; conflicts with PATH |
The command also accepts all global options, including --json and --root.
Examples
# Whole collection
mdvdb info
# One folder
mdvdb info docs
# One named Shard
mdvdb info --shard research
# Machine-readable output
mdvdb info docs --json
Reported values
| Field | Description |
|---|---|
file_count |
Markdown files discovered on disk in the scope |
indexed_file_count |
Indexed files in the scope |
chunk_count |
Indexed chunks in the scope |
vector_count |
Whole collection: measured vector count; scoped view: chunk plus edge vectors attributed to the scope |
edge_count |
Edge vectors whose source file is in scope |
reindex_chunks |
Chunks a full reindex of the scope would produce |
reindex_estimated_tokens |
Estimated embedding input tokens |
reindex_estimated_api_calls |
Estimated provider calls using the configured batch size |
sync |
Counts of new, changed, unchanged, and deleted files |
index_file_size |
Size of the complete index file, even for a scoped report |
embedding |
Provider, model, and dimensions recorded by the index |
last_updated |
Unix timestamp of the last index save |
JSON output
{
"scope": "docs/",
"is_whole_vault": false,
"file_count": 42,
"indexed_file_count": 41,
"chunk_count": 184,
"vector_count": 197,
"edge_count": 13,
"reindex_chunks": 191,
"reindex_estimated_tokens": 68320,
"reindex_estimated_api_calls": 2,
"index_file_size": 12345678,
"embedding": {
"provider": "OpenAI",
"model": "text-embedding-3-small",
"dimensions": 1536
},
"sync": {
"new": 1,
"changed": 1,
"unchanged": 40,
"deleted": 0
},
"last_updated": 1770000000
}
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.
- 2d ago First seen · 103 lines · 15 tokens per session scan A d33ebfc006d8
info is a command published in the GitHub repository geckse/markdown-vdb (23 stars, last pushed 18d ago), licensed MIT. It adds 15 tokens to every session and 813 once invoked, about $0.0001 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 commands, from other repositories
fieldtheory
Explain and drive the Field Theory CLI — bookmark-sourced seeds, repo-aware possibility runs that score ideas onto a 2x2 grid, and the interconnected .md files they leave behind. Trigger when the user asks about ft, bookmarks, seeds, ft possible (or the older name ft ideas), grids, dots/nodes, or how to turn saved…
issue-amend
Re-snapshot the active issue's scope from the spec, clear verified and reviewed receipts, and record the change as a permanent amendment.
q-research
Read the research-mode skill's SKILL.md for the full ruleset before proceeding. Follow all constraints, the source lookup cascade, the token budget, and the "what counts as cited" rules exactly.
ingest-l1
L1 analysis loop for the abapwiki knowledge base: for each batch it launches the abap-analyzer sub-agent in parallel, then the adversarial judge abap-deepcheck (separate session), applies only the analyses that pass the fail-closed gate, and commits. Resumes exactly after an interruption. Use this skill to document…
web-search
Search fetched web-source Markdown by regex and pull surrounding context for the best hits. Optionally restrict to one source alias.
docs-refresh
Re-fetch a cached source, ignoring the 7-day cache. Use when upstream content has changed.