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.
git clone --depth 1 https://github.com/AgusLoza2021/ThoughtlineWrote 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/agusloza2021/thoughtline/tl-search)<a href="https://agentmods.dev/commands/agusloza2021/thoughtline/tl-search"><img src="https://agentmods.dev/badge/commands/agusloza2021/thoughtline/tl-search/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/commands/agusloza2021/thoughtline/tl-search"><img src="https://agentmods.dev/badge/commands/agusloza2021/thoughtline/tl-search.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 | $0.00012 | $0.00149 |
| Opus 5.5 | $0.00005 | $0.00060 |
| Sonnet 5.5 | $0.00002 | $0.00030 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
tl-search 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 19d 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
Take the user's argument as a search query and call tl_search with it.
Behaviour:
- If the query contains a
/, it is treated as atopic_keyGLOB (e.g.decision/sqlite-*) - Otherwise it is FTS5 + BM25 keyword search
- Show top 5 results with title, type, snippet, and relative time
- For any result that looks promising, offer to call
tl_get_observationfor the full content
If there are no results, say so plainly. Do not paraphrase or invent matches.
User query: $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.
- 21d ago Changed · +6 lines b953e97b70f1
- 1mo ago First seen · 17 lines · 12 tokens per session scan A e1fd1a56735c
tl-search is a command published in the GitHub repository AgusLoza2021/Thoughtline (4 stars, last pushed 3d ago), licensed MIT. It adds 12 tokens to every session and 149 once invoked, about $0.0000 per session on Opus 5.5. 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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tour
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remember
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