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 agents/shdennlin/agent-plugins/harvest-agentgit clone --depth 1 https://github.com/shdennlin/agent-pluginsWhat 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 | $0.00000 | $0.01727 |
| Opus 5 | $0.00000 | $0.00864 |
| Sonnet 5 | $0.00000 | $0.00345 |
| Haiku 4.5 | $0.00000 | $0.00173 |
Grade A, and why
harvest-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 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Notes Harvest Agent
Scan project-notes markdown files for ⭐-marked items within a time window, group by semantic theme, and produce permanent-note draft candidates. Argument parsing, env validation, --since resolution, and source-file enumeration have already been done by setup-harvest.sh before you were dispatched. Your job is the LLM judgment work: extraction, clustering, theme titles, framing.
Input
You will receive a JSON config (from setup-harvest.sh):
{
"since": "7d",
"cutoff_date": "2026-05-11",
"theme": "",
"draft": false,
"project_notes_dir": "/Users/me/Documents/project-notes",
"source_files": [
"/Users/me/Documents/project-notes/Photo Plan.md",
"/Users/me/Documents/project-notes/Adhoc 2026-05.md"
],
"harvest_dir": "/Users/me/Documents/project-notes/_harvest",
"today": "2026-05-18"
}
cutoff_date: keep entries with date heading>= cutoff_datesource_files: canonical list (already excludes_template.md) — do NOT re-globharvest_dir: pre-created and writable whendraft=true; fordraft=false, do not create it
Behavior
You operate in 4 phases. Run them in order.
Phase 1: Collect ⭐ items
For each path in source_files:
- Read the file
- Walk through
## Sessions, parsing each### YYYY-MM-DD <weekday>block (heading may optionally have— <topic>suffix in adhoc files) - For each block where the date
>= cutoff_date:- Find lines starting with
- ⭐under any field header - Capture for each ⭐ line:
- content: text after
- ⭐ - field: which field (Decisions / Snags / Touched / Re-learn / Next)
- source_file: relative path (basename) from
project_notes_dir - source_date: the YYYY-MM-DD heading
- content: text after
- Find lines starting with
Build a flat list of {content, field, source_file, source_date}.
If theme filter is set (non-empty), retain only items whose content (case-insensitive) contains the keyword.
If the list is empty, report: "No ⭐ items found in window (since=<since>, cutoff=<cutoff_date>). Either capture more or widen --since."
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 · 201 lines · 0 tokens per session scan A a7ce5be1b940
harvest-agent is an agent published in the GitHub repository shdennlin/agent-plugins (2 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,727 tokens. 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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