Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dinhanhthi/coding-friendnpx agentmods add skills/dinhanhthi/coding-friend/cf-adviseWrote 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/dinhanhthi/coding-friend/cf-advise)<a href="https://agentmods.dev/skills/dinhanhthi/coding-friend/cf-advise"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-advise.svg" alt="Measured on agentmods" 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 | $0.00094 | $0.02518 |
| Opus 5 | $0.00047 | $0.01259 |
| Sonnet 5 | $0.00019 | $0.00504 |
| Haiku 4.5 | $0.00009 | $0.00252 |
Grade A, and why
cf-advise 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 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.
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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cf-advise
CLI Requirement: OPTIONAL — Only the
--saveflow uses the memory MCP fromcoding-friend-clifor indexed storage. Without the CLI: falls back to a direct file write underdocs/memory/decisions/. The advisory itself needs no CLI. See CLI requirements.
Advise on: $ARGUMENTS
Purpose
Turn a raw idea, question, prompt, or URL into an actionable decision through a structured interview. Vague questions yield vague answers — so this skill interviews before it advises, uncovering the hidden requirements behind the surface question, then delivers a verdict-first recommendation.
- Advisory-only — NEVER writes, edits, or refactors code. NEVER writes a plan file. Produces a recommendation, nothing else. If the user decides to act on it, hand off to
/cf-plan. - Unlike
/cf-plan: decides whether / which, not how to build. No plan doc, no execution. - Unlike
/cf-ask: reasons about a decision or trade-off, not a lookup of how existing code works. - Unlike
/cf-research: a focused verdict for one decision, not a multi-doc research dump.
Flags
Parsed from $ARGUMENTS; strip before using the rest as the topic.
| Flag | Effect |
|---|---|
--quick (alias --fast) |
Fewer interview questions (aim for 2–3, the highest-signal ones). Use when the decision is narrow. |
--save |
After delivering the verdict, persist it to docs/memory/decisions/ and index it in memory (Step 6). Off by default — advice stays in chat. |
Folder
Only relevant with --save. Output goes to {docsDir}/memory/decisions/ (default: docs/memory/decisions/).
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 · 187 lines · 94 tokens per session scan A ae0e78ff7436
cf-advise is a skill published in the GitHub repository dinhanhthi/coding-friend (3 stars, last pushed 2d ago), licensed MIT. It adds 94 tokens to every session and 2,518 once invoked, about $0.0005 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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