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/Mark393295827/third-brain-v7-skillsWrote 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/mark393295827/third-brain-v7-skills/token-cost-tracker)<a href="https://agentmods.dev/commands/mark393295827/third-brain-v7-skills/token-cost-tracker"><img src="https://agentmods.dev/badge/commands/mark393295827/third-brain-v7-skills/token-cost-tracker/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/mark393295827/third-brain-v7-skills/token-cost-tracker"><img src="https://agentmods.dev/badge/commands/mark393295827/third-brain-v7-skills/token-cost-tracker.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 | $0.00028 | $0.00587 |
| Opus 5 | $0.00014 | $0.00293 |
| Sonnet 5 | $0.00006 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
token-cost-tracker 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token Cost Tracker
This is a utility command, not an Agent Skill. Pricing and model catalogs change; obtain rates from the current runtime/provider billing source and record its timestamp.
Inputs
task: ""
model_id: "runtime identifier"
capability_class: fast | reasoning | multimodal | evaluator | other
input_tokens: 0
cached_input_tokens: 0
output_tokens: 0
rates_per_million:
input: null
cached_input: null
output: null
currency: ""
rate_source: ""
rate_checked_at: ""
If rates are unavailable, return token totals and cost_status: unknown; do not guess a price.
Estimate
Use measured source size, a comparable prior run, or an explicit low/base/high token range. Calculate each scenario:
cost = (input_tokens / 1,000,000 * input_rate)
+ (cached_input_tokens / 1,000,000 * cached_input_rate)
+ (output_tokens / 1,000,000 * output_rate)
Report assumptions, rate source/age, and the budget stop threshold. Do not infer token count from pages without labeling the conversion assumption.
Log
Append actual usage to .token-log.csv:
date,task,model_id,capability_class,input_tokens,cached_input_tokens,output_tokens,input_rate,cached_input_rate,output_rate,currency,cost,rate_source,notes
2026-07-11,wiki-ingest,runtime-model,reasoning,45231,12000,8732,0,0,0,USD,,provider-billing-page,rate unavailable at log time
Never rewrite historical rates. A later reconciliation appends a correction row referencing the original record.
Report
For the requested period return:
- input, cached-input, output, and total tokens;
- known cost by currency (never combine currencies silently);
- unknown-cost rows requiring reconciliation;
- breakdown by task, capability class, and model id;
- estimate-versus-actual error when estimates exist;
- largest cost driver and one bounded optimization test.
Failure Rules
- Missing token counts: return
NEEDS_INPUT. - Missing rates: compute usage only and mark cost unknown.
- Stale rates: use only when the user accepts the dated estimate; otherwise refresh.
- Mixed currencies: report separately or convert with an explicit dated exchange rate.
- Log path not writable: return
BLOCKED_PERMISSION; do not claim the row was saved.
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.
- 10d ago First seen · 74 lines · 28 tokens per session scan A d1c754726555
token-cost-tracker is a command published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 19d ago), licensed MIT. It adds 28 tokens to every session and 587 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 2026-08-30.
Other commands, from other repositories
okf
A command that exports a private knowledge wiki into an OKF-compatible bundle. OKF is a format for packaging knowledge, with a separate guarded mode for preparing material to share externally.
ingest
A command for adding information to a file-based knowledge wiki from web pages, files, or text notes. It classifies the material, updates or creates wiki pages, and adds links between related pages.
pdf-to-wiki
A workflow for sending a large PDF from Google Drive to NotebookLM, Google's document-analysis tool, and saving the resulting notes as Obsidian markdown files. It passes the file link rather than reading the PDF directly.
openehr-explain
One-stop router that explains or looks up any openEHR thing — auto-detects an archetype, a template, an RM/AM/BASE type, an RM structural concept, an ADL idiom, an AQL query or keyword, or a terminology code (replaces /archetype-explain, /template-explain, /type-spec, /rm-structure, /adl-idiom, /terminology).
sol
Run a one-shot task on the routed Codex model (gpt-5.6-sol by default) and relay its answer.
verify
Verify a single Wiki page against 3 knowledge-integrity criteria — eligibility, consistency, confirmability. Writes verificationStatus back to the page; flags conflicts as disputed rather than deleting them.