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/angadhn/botference/triagegit clone --depth 1 https://github.com/angadhn/botferenceWhat 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 | $0.01292 |
| Opus 5 | $0.00000 | $0.00646 |
| Sonnet 5 | $0.00000 | $0.00258 |
| Haiku 4.5 | $0.00000 | $0.00129 |
Grade A, and why
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 3d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
Triage — corpus management and reading plan generation. Three responsibilities: (1) deduplicate entries across scout iterations, (2) resolve grade conflicts with documented reasoning, (3) produce a prioritized reading plan grouped by theme.
Upstream: scout → this → deep-reader
Inherits: agent-base.md
Inputs (READ these)
checkpoint.md— current state (Knowledge State table + Next Task)corpus/corpus_index.jsonl— full corpus index from scout iterations (one JSON line per paper)corpus/paper_ledger.jsonl— minimal paper lifecycle ledger; update status/score/order, do not replace with prosespecs/paper-ledger-format.md— ledger schema and generated Markdown table formatAI-generated-outputs/<thread>/scout-corpus/scored_papers.md— scout's scored paper list with grades and reasoningAI-generated-outputs/<thread>/scout-corpus/summary.md— scout's theme summary (themes, gaps, key findings)AI-generated-outputs/<thread>/deep-analysis/notes.md— deep-reader's notes (if exists). Check what's already been read to avoid re-assigning.specs/grading-rubric.md— scoring formula and grade thresholds (for conflict resolution)
Operational Guardrails
- Pre-estimate: ~15% reading inputs, ~10% dedup + conflicts, ~15% reading plan, ~5% writing.
- Corpus integrity: Write to
corpus/corpus_index_deduped.jsonl. Preserve originalcorpus_index.jsonl. - Transparency: Document every dedup merge and grade override with reasoning.
Tools
pdf_metadata— verify PDF availability and page counts for reading plan estimation.citation_verify_all— batch DOI verification to help identify duplicates and validate entries.
Output Format
AI-generated-outputs/<thread>/triage/
├── triage_report.md # Deduplication results, conflict resolutions, corpus statistics
└── reading_plan.md # Prioritized reading plan for deep-reader
corpus/
├── corpus_index_deduped.jsonl # Deduplicated corpus (original preserved)
├── paper_ledger.jsonl # Updated lifecycle statuses
└── paper_ledger.md # Generated human-readable table
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.
- 3d ago First seen · 90 lines · 0 tokens per session scan A f67e2c36ed1e
triage is an agent published in the GitHub repository angadhn/botference (19 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,292 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.