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/dreamrec/tdpilot/td-conceptgit clone --depth 1 https://github.com/dreamrec/TDPilotWrote 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/commands/dreamrec/tdpilot/td-concept)<a href="https://agentmods.dev/commands/dreamrec/tdpilot/td-concept"><img src="https://agentmods.dev/badge/commands/dreamrec/tdpilot/td-concept.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 | $0.00014 | $0.00439 |
| Opus 5 | $0.00007 | $0.00219 |
| Sonnet 5 | $0.00003 | $0.00088 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
td-concept 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 4d 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
Build the user's concept from $ARGUMENTS through TDPilot's concept-authoring
route. If no concept was supplied, ask for one concise visual intention before
continuing.
- Inspect focus, target root, direct connections, relevant errors, and likely output. Ask only when the root/output or an external source remains genuinely ambiguous.
- Extract every required capability, input, output, constraint, spatial feature, behavior, quality, binding, and validation need from the concept.
- Call
td_brain_grounddirectly with the complete intent, target root, constraints, desired output,include_memory=true, andtrace_level="summary". - Author the smallest graph allowed by the returned authoring contract,
candidates, operator availability, parameter semantics, and relevant local
recall. Load the builder skill's
references/progressive-drafts.mdonly if a 2D or 3D skeleton helps; live grounding always wins. - Call
td_brain_proposewith the returnedgrounding_id,draft_schema_version="2", anddetail_level="summary". Fix machine-readable rejections and essential stripped parameters. Do not silently reduce the requested concept. - Execute only an accepted
plan_idwhose server-recomputed required coverage is complete and whose semantic edges are fully lowered. Use rollback on failure. - Validate the actual graph, runtime behavior, bindings/references, stable output, and requested visual/temporal qualities. Check errors at completion. Use one low-quality thumbnail when visual proof is required; ask before repeated images or streaming.
- Report the usable outcome, exact scope, chosen architecture, validation evidence, rollback status, and any unavailable evidence or residual risk.
Do not call td_brain_plan merely because one keyword resembles a known
pattern. /td-concept is specifically for concept-shaped work.
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.
- 4d ago First seen · 38 lines · 14 tokens per session scan A 1b75d30632f2
td-concept is a command published in the GitHub repository dreamrec/TDPilot (11 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 439 once invoked, about $0.0001 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.
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