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 strikersam/autonomous-ai-agency --skill deslopgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/deslop)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/deslop"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/deslop/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/strikersam/autonomous-ai-agency/deslop"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/deslop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01099 |
| Opus 5 | $0.00019 | $0.00549 |
| Sonnet 5 | $0.00008 | $0.00220 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
deslop 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 12d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: deslop
When to Use
Run this skill before every commit on AI-generated code. AI tends to:
- Add excessive comments explaining obvious things
- Create unnecessary abstractions "for future extensibility"
- Write verbose variable names that add noise
- Add defensive checks for impossible scenarios
- Generate boilerplate that wasn't asked for
This skill catches and removes that slop before it becomes technical debt.
What "Slop" Looks Like
Category 1 — Obvious Comments
# BAD: comment restates the code
# Increment the counter by one
counter += 1
# BAD: docstring for a trivial getter
def get_name(self):
"""Returns the name.""" # ← remove this
return self.name
# GOOD: comment explains the WHY, not the WHAT
# Retry once on 429 — Ollama rate limits burst requests
if response.status == 429:
await asyncio.sleep(1)
response = await client.post(...)
Category 2 — Phantom Abstractions
# BAD: helper function used exactly once
def _build_auth_header(token: str) -> dict:
return {"Authorization": f"Bearer {token}"}
# ... used only here:
headers = _build_auth_header(api_key)
# GOOD: inline it — one use doesn't need extraction
headers = {"Authorization": f"Bearer {api_key}"}
Category 3 — Defensive Checks for Impossible Cases
# BAD: model is typed as str, can't be None here
if model is None:
model = "default"
# BAD: list was just created, can't be empty by contract
if not items:
return []
Category 4 — Speculative Generality
# BAD: added for hypothetical future use
class BaseRouter(ABC):
@abstractmethod
def route(self): ...
class ModelRouter(BaseRouter):
def route(self): ... # only one implementation, ever
# GOOD: just write ModelRouter directly
class ModelRouter:
def route(self): ...
Category 5 — Verbose Variable Names
# BAD
current_request_model_name_string = request.model
# GOOD
model = request.model
Category 6 — Unasked-For Boilerplate
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.
- 12d ago First seen · 184 lines · 39 tokens per session scan A 8bd69787a7eb
deslop is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 1,099 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 2026-08-31.
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