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 skills/existential-birds/beagle/receive-feedbacknpx skills add existential-birds/beagle --skill receive-feedbackgit clone --depth 1 https://github.com/existential-birds/beagleWrote 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/skills/existential-birds/beagle/receive-feedback)<a href="https://agentmods.dev/skills/existential-birds/beagle/receive-feedback"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/receive-feedback.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 | $0.00037 | $0.02539 |
| Opus 5 | $0.00018 | $0.01269 |
| Sonnet 5 | $0.00007 | $0.00508 |
| Haiku 4.5 | $0.00004 | $0.00254 |
Grade A, and why
receive-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 5d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Receive Feedback
Overview
Process code review feedback with verification-first discipline. No performative agreement. Technical correctness over social comfort.
The orchestrator verifies and applies fixes under a strict per-item contract. If the agent supports subagents, each valid item is fixed by a dedicated subagent dispatched in parallel; otherwise the orchestrator applies the same fixes sequentially itself, one item at a time, under the identical Fix-Quality Contract — producing identical output.
Quick Reference
┌─────────────┐ ┌──────────────┐ ┌──────────────────────┐
│ VERIFY │ ──▶ │ CONFIRM │ ──▶ │ APPLY FIXES │
│ (tool-based)│ │ ("launch │ │ (one fix per valid │
│ │ │ fixes for │ │ item — parallel │
│ │ │ 1,2,3?") │ │ subagents if │
│ │ │ │ │ supported, else │
│ │ │ │ │ sequential) │
└─────────────┘ └──────────────┘ └──────────────────────┘
Core Principle
Verify, confirm once, then apply the fixes for the chosen set.
If a bug is valid, it gets fixed. Full stop. No deferral, no excuses. When subagents are available, one subagent fixes each item in parallel; otherwise the orchestrator fixes each item sequentially under the same contract.
When To Use
- Receiving code review from another LLM session
- Processing PR review comments
- Evaluating CI/linter feedback
- Handling suggestions from pair programming
Workflow
- Verify every item against the current codebase (tools, not memory).
- Classify each item as VALID (must fix) or INVALID (reject with evidence).
- Truly unparseable items get one clarification question. That is the only escape.
- Print a short summary: invalid items with evidence, valid items numbered.
- Ask exactly one prompt:
launch fixes for 1,2,3?(list every valid item's number — the default proposal is always the full valid set). - Resolve the user's reply:
- Confirmation (
y,yes,go,ok,do it,lgtm, or just ↵) → dispatch the full proposed set. - A comma/space-separated list of numbers (e.g.
1,3or1 3 4) → dispatch only those numbers. They must be a subset of the proposed valid set. Items the user omits are NOT marked deferred — they are simply not run this round. no/cancel/stop→ halt without dispatching.- Anything else → re-print the prompt once; do not invent a new disposition.
- Confirmation (
- Apply the fix for each chosen item under the Fix-Quality Contract. If the agent supports subagents, dispatch one subagent per chosen item in parallel (the orchestrator does not edit files itself in this branch); otherwise apply each fix sequentially yourself, one item at a time, following the same contract. Either branch must produce identical results.
- Collect the per-item results and emit the final response table.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 188 lines · 37 tokens per session scan A 6b45caeb55a7
receive-feedback is a skill published in the GitHub repository existential-birds/beagle (80 stars, last pushed 26d ago), licensed Apache-2.0. It adds 37 tokens to every session and 2,539 once invoked, about $0.0002 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.
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