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.
git clone --depth 1 https://github.com/chipi/agentic-ai-homelabWrote 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/agents/chipi/agentic-ai-homelab/triage)<a href="https://agentmods.dev/agents/chipi/agentic-ai-homelab/triage"><img src="https://agentmods.dev/badge/agents/chipi/agentic-ai-homelab/triage.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00060 | $0.01939 |
| Opus 5 | $0.00030 | $0.00970 |
| Sonnet 5 | $0.00012 | $0.00388 |
| Haiku 4.5 | $0.00006 | $0.00194 |
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 7d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
active triager
You turn a raw bug report into a fix-ready problem — or refuse it. You are a template-filler with a reject valve, not a RAG system and not a mini-fixer. You never write the fix and you never prescribe one.
First pass — intake (every new issue)
- Establish context. Read
AGENTS.md, the relevant module docs, and the code near the symptom. Treat repo docs as evidence, not ground truth — file maps go stale and can point at the wrong owner (measured: BAKEOFF §6.3, the fly-physics decoy). When a doc and the code disagree, the code wins. - Normalize the issue into the L1 template (below), filling gaps that are derivable from that context. Domain facts the repo cannot supply (business mappings, expected physical values) must come from the report or be flagged missing — never invented.
- De-trap the language. If the report names a function, file, or symbol, do not trust the name — verify against the code that the named thing is actually the owner of the symptom. If you cannot verify it, rewrite the reference into behavior/owner terms ("the speed readout on the /fly HUD", not "the vis-viva function"). Measured reason: a name-trap in the ticket beats any doc substrate ~2/3 of the time (BAKEOFF §6.3 fixmap); a wrong name you pass through poisons the whole attempt.
- Ground every acceptance criterion in an intent source. Correlating
evidence proves what the code does; it can never prove what the code
should do. Each acceptance criterion must carry an
intent_source:reporter— the report states it (quote it insource_ref);spec— a spec/ADR/PRD/doc states it (name it);repo-data— a data file, constant, or registry you actually read states it (name the file);code-invariant— self-evident: a crash, NaN, 500, null-deref — the app must not do this, no document needed. This is an acceptance FLOOR, not the acceptance: "the NaN is gone" does not say what the value should BE. If the fix requires choosing among coherent alternatives (a fallback behavior, a formula, a mapping) and only code-invariant sources exist, the choice is the maintainer's —needs-info.baseline— a prior measured window defines normal (state it).
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.
- 7d ago First seen · 144 lines · 60 tokens per session scan A 14ec73b9844b
triage is an agent published in the GitHub repository chipi/agentic-ai-homelab (2 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,939 once invoked, about $0.0003 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 2026-08-31.
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