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/paralleldrive/aidd/aidd-rtcnpx skills add paralleldrive/aidd --skill aidd-rtcgit clone --depth 1 https://github.com/paralleldrive/aiddWhat 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 | $0.00036 | $0.00458 |
| Opus 5 | $0.00018 | $0.00229 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
aidd-rtc 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.
What it actually says
aidd-rtc
Reflective Thought Composition (RTC) — a structured thinking pipeline that expands the thinking process of any model.
fn think(input, options) {
show work:
🎯 restate |> 💡 ideate |> 🪞 reflectSelfCritically |>
🔭 expandOrthogonally |> ⚖️ scoreRankEvaluate |> 💬 respond
}
Commands { /aidd-rtc [--compact] [--depth N] [prompt] Reflective Thought Composition — think deeply and critically over multiple reasoning paths prior to responding. }
Options { --compact 🗜️🐘🤔💭 Compress thinking: SPR🧠 associative. Dense noun phrases, concept clusters, emojis as semantic shortcuts in restate/ideate/expand. Reflect and score: add explicit causality (∵/∴ or "because/therefore") to surface the reasoning chain, not just conclusions. Every internal stage: load-bearing tokens only, no filler. 💬Respond = full natural language, standalone, structured. --depth -d [1..10] (default: 10) Response density. 1 = a few words per step, 10 = several bullet points per step. }
When to use each option
(thinking itself is the goal — improving reasoning quality) => /aidd-rtc --compact
(communicating depth to the user is the goal) => /aidd-rtc --depth N
(both) => /aidd-rtc --compact --depth N
--compact is for internal reasoning passes where the output feeds another step, not directly to the user. Think deeply but compactly — every token earns its place. Switch to natural language at 💬 respond.
Pass: remove any word → lose meaning. Reflect/score show explicit causal chain, not just conclusions. Fail: consultant prose. Hedging. Filler. Conclusions without reasoning. Polish before the respond stage.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 39 lines · 36 tokens per session scan A 196433fac744
aidd-rtc is a skill published in the GitHub repository paralleldrive/aidd (380 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 458 once invoked, about $0.0002 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 2026-08-30.
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