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 zhaixin244-wq/fnw --skill rag-project-syncgit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/zhaixin244-wq/fnw/rag-project-sync)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/rag-project-sync"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/rag-project-sync/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/zhaixin244-wq/fnw/rag-project-sync"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/rag-project-sync.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 | $0.00023 | $0.00745 |
| Opus 5 | $0.00012 | $0.00373 |
| Sonnet 5 | $0.00005 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
rag-project-sync 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const res = await fetch(BASE + '/documents/text', { How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RAG Project Sync — End-of-Session Project Memory Sync
Review what happened this session and push project-relevant learnings to the project-level LightRAG knowledge graph.
Workflow
Step 1: Review the session
Scan the conversation for project-specific items worth persisting:
- Architecture decisions — component design, data flow changes, API structure
- Conventions established — naming patterns, file organization, coding standards
- Dependencies added/changed — new packages, version bumps, API integrations
- Config changes — env vars, build settings, deployment config
- Requirements clarified — business rules, constraints, edge cases discovered
- Gotchas found — non-obvious behaviors, platform quirks, workarounds needed
Step 2: Filter ruthlessly
Remove anything that:
- Is already in the codebase (code, comments, configs)
- Is in git history (commits, diffs)
- Was already stored via
/rag-project-rememberthis session - Is personal (not project-specific) — redirect to
/rag-syncinstead - Is ephemeral (current branch state, temp files)
Step 3: Format entries
Format each item using the /rag-project-remember format:
[TYPE] Title — YYYY-MM-DD
What: ...
Why: ...
Files: ... (if applicable)
Step 4: Confirm with user
Present the list:
Ready to sync 2 items to project memory:
- [ARCHITECTURE] API routes use controller pattern with service layer — 2026-04-01
- [CONVENTION] All database queries go through repository classes — 2026-04-01
Proceed? (y/n)
Wait for confirmation before inserting.
Step 5: Insert each item
node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
const res = await fetch(BASE + '/documents/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': API_KEY
},
body: JSON.stringify({
file_source: 'DESCRIPTION_HERE',
text: 'CONTENT_HERE'
})
});
console.log('Status:', res.status);
})();
"
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 · 106 lines · 23 tokens per session scan A 2c31f5f01ffc
rag-project-sync is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 745 once invoked, about $0.0001 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 2026-09-03.
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