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 dinhanhthi/coding-friend --skill cf-remembergit clone --depth 1 https://github.com/dinhanhthi/coding-friendWrote 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-remember)<a href="https://agentmods.dev/skills/dinhanhthi/coding-friend/cf-remember"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-remember/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/dinhanhthi/coding-friend/cf-remember"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-remember.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 | $0.00119 | $0.02486 |
| Opus 5.5 | $0.00048 | $0.00994 |
| Sonnet 5.5 | $0.00024 | $0.00497 |
| Haiku 4.5 | $0.00012 | $0.00249 |
Grade A, and why
cf-remember 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 1mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cf-remember
Extract and save project knowledge. User input: $ARGUMENTS
Purpose
After a coding session, key knowledge gets lost — logic flows, conventions, decisions, gotchas. This skill captures that knowledge into the project's memory folder so future sessions (and humans) can quickly understand the project.
Folder
Output goes to {docsDir}/memory/ (default: docs/memory/). Check .coding-friend/config.json for custom docsDir if it exists.
IMPORTANT — path resolution:
- Use
MAIN_REPO_ROOTfrom the SessionStart bootstrap context (injected via session-init.sh). If absent, fall back to runningpwdfor$CWDand use$CWDasMAIN_REPO_ROOT. - Read config from
CF_CONFIG_FILE(=$MAIN_REPO_ROOT/.coding-friend/config.json) — do NOT search sub-folders - Use
CF_DOCS_ROOTas the docs base dir (=$MAIN_REPO_ROOT/{docsDir}wheredocsDircomes from config, defaultdocs) - Always resolve
file_pathas an absolute path:{CF_DOCS_ROOT}/memory/{category}/{name}.md - Never use relative paths in write specs — they may resolve incorrectly when the working directory contains nested git repos
Workflow
Step 0: Custom Guide
bash "<plugin-root>/lib/load-custom-guide.sh" cf-remember
If the block above printed anything, apply only the ## Before, ## Rules, and ## After sections; if it shows the raw command instead of output, re-run that exact load-custom-guide.sh fence now.
Step 1: Analyze the Conversation
If $ARGUMENTS is provided, use it as a filter — focus only on conversation content that relates to the user's stated purpose. Otherwise, scan the full conversation.
Identify:
- Features worked on: What was built or modified?
- Logic flows: How does the feature work? Key decision points?
- Conventions: Patterns established (naming, structure, API design)
- Decisions: Why was X chosen over Y?
- Gotchas: Tricky parts, common mistakes, non-obvious behavior
Step 2: Determine the Category
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.
- 1mo ago Changed · -3 lines · +10 tokens per session 5e5ebdd29516
- 1mo ago First seen · 233 lines · 109 tokens per session scan A 3d58ca89bb1f
cf-remember is a skill published in the GitHub repository dinhanhthi/coding-friend (4 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 2,486 once invoked, about $0.0005 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 2026-08-31.
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