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 commands/windagency/valora.ai/feedbackgit clone --depth 1 https://github.com/windagency/valora.aiWhat 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 | $0.00018 | $0.03911 |
| Opus 5 | $0.00009 | $0.01956 |
| Sonnet 5 | $0.00004 | $0.00782 |
| Haiku 4.5 | $0.00002 | $0.00391 |
Grade A, and why
feedback 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 601 lines · 18 tokens per session scan A 440c43c69dd7
feedback is a command published in the GitHub repository windagency/valora.ai (24 stars, last pushed 9d ago), with no licence file. It adds 18 tokens to every session and 3,911 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.
Other commands, from other repositories
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setup-clasp
Command "setup-clasp" from minicoohei/ai-agent-camp, covering google apps script cli (clasp) セットアップ, step 0: セットアップ進捗の確認, このセッションでやること, 準備チェック and step 1: node.js の確認.
setup-clasp.en
Command "setup-clasp.en" from minicoohei/ai-agent-camp, covering google apps script cli (clasp) setup, step 0: check setup progress, what you'll do in this session, readiness check and step 1: check node.js.
setup-gogcli.en
Command "setup-gogcli.en" from minicoohei/ai-agent-camp, covering gogcli (google workspace cli) setup, step 0: check setup progress, what you'll do in this session, readiness check and step 1: install gogcli.
setup-gogcli.es
Command "setup-gogcli.es" from minicoohei/ai-agent-camp, covering configuración de gogcli (google workspace cli), step 0: verificar el progreso de configuración, lo que hará en esta sesión, verificación de preparación and step 1: instalar gogcli.
setup-gogcli
Command "setup-gogcli" from minicoohei/ai-agent-camp, covering gogcli (google workspace cli) セットアップ, step 0: セットアップ進捗の確認, このセッションでやること, 準備チェック and step 1: gogcli のインストール.