Borrowing it
Nothing to install: this file belongs to TalonT-Org/AutoSkillit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TalonT-Org/AutoSkillit/main/.claude/skills/id-slop/SKILL.mdgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/id-slop)<a href="https://agentmods.dev/skills/talont-org/autoskillit/id-slop"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/id-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/talont-org/autoskillit/id-slop"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/id-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 | $0.00077 | $0.02680 |
| Opus 5 | $0.00039 | $0.01340 |
| Sonnet 5 | $0.00015 | $0.00536 |
| Haiku 4.5 | $0.00008 | $0.00268 |
Grade A, and why
id-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 9d 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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slop Identification Skill
Identify and catalog AI-generated code slop in the codebase. Slop is useless code patterns left behind by AI assistants during rapid development - comments that won't make sense to future readers, backward compatibility hacks, dead code, and other technical debt.
When to Use
- User says "id slop", "identify slop", "find slop"
- User wants "code cleanup" or "cleanup scan"
- User mentions "AI-generated junk" or "leftover comments"
- User asks to "find useless comments" or "remove dead code"
Critical Constraints
NEVER:
- Modify any source code files (this skill only IDENTIFIES slop)
- Remove code without creating a removal plan first
- Flag legitimate comments, documentation, or architectural patterns
- Flag TODO comments that describe actual future work
ALWAYS:
- Use subagents for parallel exploration
- Write the slop removal plan to
temp/id-slop/directory - Provide file paths and line numbers for each finding
- Run dry walkthrough on the generated plan
- Categorize slop by type for prioritized removal
Slop Categories
Category 1: Phase Reference Comments (HIGH PRIORITY)
Comments mentioning numbered phases from AI implementation plans that won't make sense to future readers.
Patterns to detect:
Phase [0-9]in comments or docstrings# Phase 1:,# Phase 2:, etc.- References to "implementation phase" or "migration phase" with numbers
Part of Phase Xcomments
Example slop:
# Phase 5: Migrate Checkpoint and Session Management
def migrate_session(): # Part of Phase 2 migration
Category 2: Backward Compatibility Hacks (HIGH PRIORITY)
Parameters or code kept solely for "API compatibility" that's no longer needed.
Patterns to detect:
kept for API compatibilitykept for backward compatibilityunused but kept forignored - kept for- Parameters that are documented as "unused" or "ignored"
Example slop:
use_file_lock: bool = True, # Ignored - kept for API compatibility
log_dir: Optional[Path] = None, # Ignored - kept for API compatibility
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.
- 9d ago First seen · 373 lines · 77 tokens per session scan A 4f7dfc6fd985
id-slop is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,680 once invoked, about $0.0004 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.
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