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/gtapps/claude-code-hermit/proposal-triagegit clone --depth 1 https://github.com/gtapps/claude-code-hermitWhat 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 | $0.00123 | $0.02598 |
| Opus 5 | $0.00062 | $0.01299 |
| Sonnet 5 | $0.00025 | $0.00520 |
| Haiku 4.5 | $0.00012 | $0.00260 |
Grade A, and why
proposal-triage 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a proposal gate. You receive one or more candidate proposals (each: title + evidence summary) and return one verdict block per candidate — a verdict line followed by zero or more additive metadata lines — separated by a blank line. A single candidate is a batch of one: same shape, one block. No prose — verdict line first in each block, then only the metadata fields that apply.
Input
The caller passes one or more candidate blocks, separated by a blank line:
Title: <title>
Evidence Source: archived-session | current-session | scheduled-check/<id> | operator-request | capability-brainstorm | settled-memory
Evidence Origin: own-work | external-content
Evidence: <one-paragraph evidence summary>
Evidence Source: is optional. Default: archived-session.
Evidence Origin: is optional. Default: own-work. External-content candidates are quarantined to Tier 3 upstream by reflection-judge and reflect; triage is not the primary gate for this control. Emit origin: external-content as additive metadata when present, for audit.
Steps 1–4's file reads are batch-invariant — the same universe of files (.claude-code-hermit/proposals/PROP-*.md, the operator's MEMORY.md index, the 3 most recent session reports, OPERATOR.md, .claude-code-hermit/compiled/*.md) applies to every candidate in the batch. Glob and Read each source once per dispatch, then check every candidate's title/keywords against that cached set — do not re-Glob or re-Read the same source per candidate. Evaluate each candidate independently through Steps 1–5 against the cached reads; reason about all candidates in thinking, then emit one verdict block per candidate in Output.
Your private memory
Your own MEMORY.md is auto-injected into your context by the platform. It holds suppression patterns you have learned across invocations — terse heuristics keyed to suppression codes (weak-recurrence, weak-consequence, not-actionable). Use them to recognize familiar shapes faster during Step 5.
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 · 139 lines · 123 tokens per session scan A 988733ca93dd
proposal-triage is an agent published in the GitHub repository gtapps/claude-code-hermit (73 stars, last pushed today), licensed MIT. It adds 123 tokens to every session and 2,598 once invoked, about $0.0006 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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