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 instructions/joshidikshant/loopback/agents-mdgit clone --depth 1 https://github.com/joshidikshant/loopbackWhat 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 | $0.00966 | $0.00966 |
| Opus 5 | $0.00483 | $0.00483 |
| Sonnet 5 | $0.00193 | $0.00193 |
| Haiku 4.5 | $0.00097 | $0.00097 |
Grade A, and why
loopback AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions
Working the Loopback queue
Loopback is the feedback bus for this repo. Real product usage — pinned UI feedback, backend failures with response bodies, UX papercuts, feedback on AI features with their run metadata — lands in one queue. Your job is to close loops: fix what real usage surfaced, and write the outcome back so the reporter sees the pin turn green.
Project slug for this repo: loopback.
The loop
Work one item at a time, most severe first:
loopback_list_feedback(project="loopback", status="open")— see what users actually hit. Checktriagedtoo if the open queue is empty.loopback_claim_feedback(id, agent=<your name>)— claim as your own agent name:claude-code,codex,gemini, or your CLI's name. If the claim is rejected, another agent holds it — pick a different item. Never force-claim (force=true) without first stating why in aloopback_add_comment.loopback_get_feedback(id)— read ALL captured context before touching code. A pin is an anchor, not a scope: a pin on a form button often carries the backend root cause. Specifically read:networkandextra.failed_responses— failing calls with up to 2KB of response body (error codes, hints, stack fragments);consoleandrepro_steps;extra.context—run_id/model/trace_urlwhen the feedback is on an AI or automation feature. Chase the trace, not just the DOM.
- Comment your root-cause diagnosis via
loopback_add_commentbefore fixing — it is the audit trail that makes the queue trustworthy. - Fix it in this repo. Smallest change that addresses what was reported.
loopback_link_change(id, repo, branch, commit, pr_url, diff_summary)— the fix must be traceable from the feedback item.loopback_update_status(id, status="fixed", note=...).- Verify for real, don't assume: UI issues → drive the running app with your browser tool/MCP; backend or logic → run the tests or hit the endpoint; usage/metric issues → check the metric or replay.
- Only after verification:
loopback_resolve_feedback(id, resolution="verified", note=..., agent=<your name>). Passagent— this is the write that turns the reporter's pin full green, and without it the trail records the default"agent"instead of you. Usewontfixwith a reason when intentionally not fixing. Resolving flips the reporter's pin green — do not claim it until it is true.
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.
- yesterday First seen · 73 lines · 966 tokens per session scan A 655df1e92198
loopback AGENTS.md is an instructions file published in the GitHub repository joshidikshant/loopback (0 stars, last pushed 1mo ago), licensed MIT. It adds 966 tokens to every session, about $0.0048 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.
Other instructions, from other repositories
gitpin AGENTS.md
AGENTS.md instructions for shmindmaster/gitpin, covering agents.md - gitpin, mission, knowledge authority, start here and architecture.
agent-harness-skills AGENTS.md
Instructions for yfge/agent-harness-skills, covering agent harness skills - repository instructions, purpose, rules, validation and commit discipline.
agent-harness-skills GEMINI.md
Instructions for yfge/agent-harness-skills: This extension provides reusable skills for repository harness design.
gitpin CLAUDE.md
Claude Code instructions for shmindmaster/gitpin, a project described as: Require exact PR evidence before agent-authored changes merge. Local evidence MCP + base-trusted gate.
matt-skills-with-to-goal CLAUDE.md
Instructions for tt-a1i/matt-skills-with-to-goal: Skills are organized into bucket folders under skills/.
coral CLAUDE.md
Instructions for cdknorow/coral, covering claude.md - coral go, mission, testing, go unit tests and legacy parity tools (historical reference).