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 skills add alvin-reyes/better-agentic-ide --skill anti-slopgit clone --depth 1 https://github.com/alvin-reyes/better-agentic-ideWrote 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/alvin-reyes/better-agentic-ide/anti-slop)<a href="https://agentmods.dev/skills/alvin-reyes/better-agentic-ide/anti-slop"><img src="https://agentmods.dev/badge/skills/alvin-reyes/better-agentic-ide/anti-slop/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alvin-reyes/better-agentic-ide/anti-slop"><img src="https://agentmods.dev/badge/skills/alvin-reyes/better-agentic-ide/anti-slop.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00047 | $0.00711 |
| Opus 5.5 | $0.00019 | $0.00284 |
| Sonnet 5.5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
anti-slop 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 today.
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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-slop
Slop is output that looks finished but isn't, or that pads the work with words and code nobody asked for. Hold every change to these rules.
Code
- Do what was asked, and only that. No extra features, options, config flags, abstraction layers or "future-proofing" the task doesn't need.
- No stubs. Never leave
TODO,FIXME,pass,throw new Error("not implemented"), "implement this", "your logic here" or "... rest of the code". Write the real code, or say plainly what you didn't do and why. - No debug leftovers. Remove
console.log,printdebugging anddebuggerstatements you added. Real logging goes through the project's logger. - No commented-out code. Delete it; git keeps history.
- Comments explain why, not what. Don't narrate code ("This function adds two numbers", "Increment i"). Keep comments that record a reason, a constraint or a non-obvious decision.
- Match the codebase. Follow the file's naming, structure, error handling and comment density. Reuse existing helpers instead of writing near-duplicates.
- No new files without a reason. Don't add READMEs, example files, summary markdown or test scaffolding unless asked.
- Don't swallow errors. No empty
catch, noexcept: pass, no silent fallbacks that hide a failure. - Tests test behaviour. No tests that only assert a mock was called, no snapshot dumps nobody reads, no tests edited to pass without fixing the cause.
- Finish the loop. Run the project's typecheck, lint and tests for what you touched. Report failures honestly.
Writing (docs, READMEs, commit messages, PR descriptions, replies)
- Lead with the point. First sentence says what changed or what the answer is.
- Plain words. Not: delve, leverage, utilize, robust, seamless, cutting-edge, game-changer, supercharge, elevate, unlock, embark, tapestry, "in today's fast-paced world", "it's worth noting", "a testament to".
- No filler. Cut openers ("Great question!", "Certainly!"), recaps of what the reader just read, and closing offers of more help.
- No hype or hedging stacks. Say what it does. Qualify only when it matters.
- Formatting serves the reader. No emoji in headings, no bold on every other phrase, no bullet lists for things that read better as a sentence.
- Commit messages: imperative subject under ~70 characters, then what and why. No "This commit...".
- Be specific. Name the file, the function, the number. "Improved performance" says nothing; "cut cold start from 2.1 s to 0.8 s" does.
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.
- today First seen · 36 lines · 47 tokens per session scan A 5f327c3b94b3
anti-slop is a skill published in the GitHub repository alvin-reyes/better-agentic-ide (85 stars, last pushed 9d ago), licensed MIT. It adds 47 tokens to every session and 711 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-26.
Other skills, from other repositories
github-code-review
Review PRs: diffs, inline comments via gh or REST.
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
vigilante-issue-implementation
Implement a GitHub issue end-to-end when Vigilante dispatches work for a watched repository. Use the provided worktree, respect repository instructions, comment on the issue as work progresses, and report failures back to GitHub.
simplify-code
Sequential 3-lens cleanup of recent code changes.
vigilante-issue-implementation-on-bazel-monorepo
Implement a GitHub issue end-to-end when Vigilante dispatches work for a Bazel-based monorepo. Use the provided worktree, respect repository instructions, comment on the issue as work progresses, and report failures back to GitHub.
vigilante-issue-implementation-on-monorepo
Implement a GitHub issue end-to-end when Vigilante dispatches work for a watched monorepo. Use the provided worktree, respect repository instructions, comment on the issue as work progresses, and report failures back to GitHub.