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 YG3-ai/quill --skill consultgit clone --depth 1 https://github.com/YG3-ai/quillWrote 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/yg3-ai/quill/consult)<a href="https://agentmods.dev/skills/yg3-ai/quill/consult"><img src="https://agentmods.dev/badge/skills/yg3-ai/quill/consult/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/yg3-ai/quill/consult"><img src="https://agentmods.dev/badge/skills/yg3-ai/quill/consult.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 | $0.00032 | $0.00658 |
| Opus 5 | $0.00016 | $0.00329 |
| Sonnet 5 | $0.00006 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
consult scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import json, urllib.request, sys How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The developer just typed /quill:consult — likely because something feels
stuck, inconsistent, or off. Their note: "$ARGUMENTS"
Don't try to solve the problem yet. Run this dialogue with Quill first.
Step 1 — Frame what you see
Look back at the last 6-10 exchanges in this session. In 2-3 sentences, describe:
- What the developer has been trying to achieve
- What you've actually been doing
- Where their experience and your behavior might be diverging
Be specific. Reference concrete moments. This is your view of the situation, not theirs.
Length limit: keep your framing under 600 characters total. The bridge caps inputs at 1000 chars and will truncate longer messages. Tight framings get sharper reframings — say what's load-bearing, leave the rest.
Step 2 — Send your framing to Quill via the bridge
Use this command, substituting your framing from Step 1 for <YOUR FRAMING>:
python3 -c "
import json, urllib.request, sys
msg = sys.argv[1]
payload = json.dumps({'message': msg}).encode()
req = urllib.request.Request('http://127.0.0.1:9000/consult', data=payload, headers={'Content-Type': 'application/json'})
try:
with urllib.request.urlopen(req, timeout=180) as r:
data = json.loads(r.read())
if data.get('welcome'):
print('=== WELCOME ===')
print(data['welcome'])
print('=== END WELCOME ===')
print()
print(data['reply'])
except Exception as e:
print(f'BRIDGE UNAVAILABLE: {e}')
" "<YOUR FRAMING>"
If you see BRIDGE UNAVAILABLE, the local advisor server isn't running.
Tell the developer to check the plugin's status (it should auto-start when
the plugin is enabled — see the plugin README for the recovery command)
and stop here.
First-install note: if the output contains === WELCOME === /
=== END WELCOME === markers, this is the developer's very first Quill
invocation. Show the welcome text (between the markers) verbatim as a
brief preface in Step 3, before the three-paragraph dialogue. After this
session it will never appear again — don't paraphrase or skip it.
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.
- 8d ago First seen · 74 lines · 32 tokens per session scan A f345a77f3ed7
consult is a skill published in the GitHub repository YG3-ai/quill (1 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 658 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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