afbl

A command for listing feedback items so developers can sort work that needs review.

In plain words
What is it for?
Use it to show feedback by status, type, severity, or tag, such as high-severity bugs or authentication issues.
Why use it?
It avoids manually searching through all feedback and makes triage—the process of deciding what to handle—more focused.

Command for Claude Code

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 commands/jayvee/aigon/afbl
Clone the repo
git clone --depth 1 https://github.com/jayvee/aigon

Made for: Claude Code.

Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 230 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 $0.00011 $0.00230
Opus 5 $0.00005 $0.00115
Sonnet 5 $0.00002 $0.00046
Haiku 4.5 $0.00001 $0.00023

Measured 2d ago against content hash de7e2e605736, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

afbl 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.

.claude/commands/afbl.md · 35 lines

What it actually says

aigon-feedback-list

List feedback items for triage.

Step 1: Run the CLI command

aigon feedback-list {{args}}

Filter options

  • Status: --inbox, --triaged, --actionable, --done, --wont-fix, --duplicate, --all
  • Metadata: --type <type>, --severity <severity>, --tag <tag>

Examples:

aigon feedback-list --inbox
aigon feedback-list --all --type bug --severity high
aigon feedback-list --all --tag auth

If no args are provided

The command defaults to active triage lanes:

  • inbox
  • triaged
  • actionable
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. 2d ago First seen · 35 lines · 11 tokens per session scan A de7e2e605736

Subscribe to this mod's changes

afbl is a command published in the GitHub repository jayvee/aigon (23 stars, last pushed 2d ago), licensed Apache-2.0. It adds 11 tokens to every session and 230 once invoked, about $0.0001 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.