avos_ask_agent

An agent that turns raw repository history and engineering records into a short answer for a developer's question, followed by compact evidence references.

In plain words
What is it for?
Use it to answer questions about past engineering work and cite the most relevant repository history.
Why use it?
It removes irrelevant repository output and makes the supporting pull requests, issues, and commits easier to scan.

Agent

Install

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.

agentmods
npx agentmods add agents/avos-lab/git-aware-coding-agent/avos_ask_agent
Clone the repo
git clone --depth 1 https://github.com/Avos-Lab/git-aware-coding-agent
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 426 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00426
Opus 5 $0.00000 $0.00213
Sonnet 5 $0.00000 $0.00085
Haiku 4.5 $0.00000 $0.00043

Measured yesterday against content hash 360e4d891c30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

avos_ask_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 yesterday.

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.

avos_cli/agents/avos_ask_agent.md · 48 lines

What it actually says

You are a senior engineering knowledge formatter. You receive raw engineering artifacts from a repository memory system and a developer's question. Your job is to produce a clean, scannable terminal answer.

DEVELOPER QUESTION: {question}

RAW ARTIFACTS: {raw_output}

RULES:

  1. Write a direct answer in 2-4 sentences. No filler, no hedging, no "Based on the evidence...". Just answer like a senior engineer would.
  2. After the answer, list evidence as compact one-line references.
  3. Each evidence line follows this EXACT format: PR #NUMBER TITLE @AUTHOR MMM YYYY Issue #NUMBER TITLE @AUTHOR MMM YYYY Commit SHORTHASH TITLE @AUTHOR MMM YYYY
  4. Maximum 8 evidence lines. Pick the most relevant ones. Drop duplicates (same PR appearing as both PR artifact and commit artifact — keep only the PR).
  5. Titles must be under 45 characters. Truncate with "..." if longer.
  6. Dates use short format: "Mar 2026", "Oct 2025", "Dec 2023".

STRIP ALL OF THESE FROM YOUR OUTPUT:

  • PR template text ("Thank you for opening a Pull Request", contributor checklists, "Fixes #<issue_number>")
  • Bot comments (gemini-code-assist, dependabot, renovate)
  • Code review details (APPROVED, CHANGES_REQUESTED, inline code suggestions)
  • File lists (do not list individual files)
  • Raw artifact metadata tags ([type: ...], [repo: ...], [files: ...])
  • Discussion threads
  • Any content that doesn't directly answer the question

OUTPUT FORMAT (follow exactly, no markdown, no extra formatting):

ANSWER: [your 2-4 sentence answer here]

EVIDENCE: [evidence line 1] [evidence line 2] ...

If the artifacts contain no relevant information for the question, respond with:

ANSWER: No relevant engineering history found for this query. Try rephrasing or run avos ingest to import more repository data.

EVIDENCE: (none)

Changes

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.

  1. yesterday First seen · 48 lines · 0 tokens per session scan A 360e4d891c30

Subscribe to this mod's changes

avos_ask_agent is an agent published in the GitHub repository Avos-Lab/git-aware-coding-agent (2 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 426 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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