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 commands/volkthienpreecha/modesofthinking/deepthinkgit clone --depth 1 https://github.com/volkthienpreecha/modesofthinkingWhat 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 | $0.00011 | $0.00062 |
| Opus 5 | $0.00005 | $0.00031 |
| Sonnet 5 | $0.00002 | $0.00012 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
deepthink 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 2d 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.
This is a copy
86% identical to debrief — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Use the modes-of-thinking skill in deepthink mode. Follow that mode's workflow and output contract exactly. Treat the text below as the user's request.
$ARGUMENTS
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.
- 2d ago First seen · 9 lines · 11 tokens per session scan A 1991922557c1
deepthink is a command published in the GitHub repository volkthienpreecha/modesofthinking (3 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 62 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to debrief, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
spec-design
Create comprehensive technical design for a specification.
spec-kitty-standalone
This host should read Spec Kitty's canonical standalone-invocation skill pack at.
ox-session-review
Command "ox-session-review" from sageox/ox, covering failure-mode watch-list (read first), from the ledger root. should print 0, phase 1 — scan & score (read-only), quality buckets (first match wins) and removal candidates.
ox-conversation
pinning, errors) belongs in the ox CLI JSON output (guidance field) and ox guide conversations, not here. Skills are agent-specific wrappers; ox serves all agents (Codex, etc.). --> Read recorded team conversations locally: list, summaries, distillation topics, and transcript slices.
ox-session-pause
belongs in the ox CLI JSON output (guidance field), not here. Skills are agent-specific wrappers; ox serves all agents (Codex, etc.). --> Suspend the current session recording. Local cache continues to receive entries, but the upload at stop time will exclude the suspended range.
wtfp:review-section
Review a drafted section for evidence, citations, coherence, requirements, and reader expectations.