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 agentmods add skills/seongjaeryu/bindly-claude-code/organizenpx skills add seongjaeryu/bindly-claude-code --skill organizegit clone --depth 1 https://github.com/seongjaeryu/bindly-claude-codeWrote 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/seongjaeryu/bindly-claude-code/organize)<a href="https://agentmods.dev/skills/seongjaeryu/bindly-claude-code/organize"><img src="https://agentmods.dev/badge/skills/seongjaeryu/bindly-claude-code/organize.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 | $0.00005 | $0.00379 |
| Opus 5 | $0.00003 | $0.00189 |
| Sonnet 5 | $0.00001 | $0.00076 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
organize 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 5d 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.
What it actually says
Help users organize their Bindly knowledge into curated Sets.
What are Sets?
Sets are curated collections of knowledge versions, grouped by purpose:
- Project-specific knowledge bases
- Topic collections (e.g., "Authentication Patterns")
- Research compilations
- Learning paths
Workflow
When the user wants to organize knowledge:
-
Understand Goal: What collection are they building?
- New project starting? Create a fresh Set
- Existing Set to expand? Find and add to it
- Reorganizing? Review current structure
-
Search Existing Sets: Use
mcp_list_sets- Show current Sets in the Space
- Check if relevant Set already exists
-
Create or Update:
- New Set: Use
request_create_setwith descriptive name - Add to Set: Use
request_add_version_to_set - Remember: Sets contain specific versions, not bindings directly
- New Set: Use
-
Curate: Help select what to include
- Search for relevant bindings
- Review and pick the most useful versions
- Suggest organization structure
-
Share (Optional): If the user wants to share
- Use
request_create_set_sharefor public link - Set TTL (time-to-live) for the share
- Use
Example Prompts
- "Create a Set for my Q1 project research"
- "Add this to my authentication patterns collection"
- "Organize my recent coding notes"
- "Share my API design Set with the team"
Key Points
- Sets organize versions, not bindings (immutable snapshots)
- Same binding can appear in multiple Sets
- Sets can be shared publicly with time-limited links
- Organization helps future retrieval and cross-agent access
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.
- 5d ago First seen · 55 lines · 5 tokens per session scan A 47f620534a72
organize is a skill published in the GitHub repository seongjaeryu/bindly-claude-code (8 stars, last pushed 7mo ago), licensed MIT. It adds 5 tokens to every session and 379 once invoked, about $0.0000 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.
Other skills, from other repositories
llm-wiki
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or…
setup
Scaffold a complete knowledge system. Detects platform, conducts conversation, derives configuration, generates everything. Validates against 15 kernel primitives. Triggers on "/setup", "/setup --advanced", "set up my knowledge system", "create my vault".
cortex-distill
Distill raw session records into refined Notes and Projects. Use when the user says "提煉", "整理 raw", "distill", or "distill raw records".
cortex-broadcast
Propagate insights from a distilled Raw into related existing Notes/Projects pages through conversational per-page edits.
rethink
Challenge system assumptions against accumulated evidence. Triages observations and tensions, detects patterns, generates proposals. The scientific method applied to knowledge systems. Triggers on "/rethink", "review observations", "challenge assumptions", "what have I learned".
architect
Research-backed evolution advice for your knowledge system. Analyzes health reports, friction patterns, and derivation history to propose specific changes with research justification. Never auto-implements — proposals require your approval.