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 skills add FXDavid-OffbeatForex/tlc-hermes-skills --skill ask-a-legendgit clone --depth 1 https://github.com/FXDavid-OffbeatForex/tlc-hermes-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/skills/fxdavid-offbeatforex/tlc-hermes-skills/ask-a-legend)<a href="https://agentmods.dev/skills/fxdavid-offbeatforex/tlc-hermes-skills/ask-a-legend"><img src="https://agentmods.dev/badge/skills/fxdavid-offbeatforex/tlc-hermes-skills/ask-a-legend/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/skills/fxdavid-offbeatforex/tlc-hermes-skills/ask-a-legend"><img src="https://agentmods.dev/badge/skills/fxdavid-offbeatforex/tlc-hermes-skills/ask-a-legend.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 | $0.00099 | $0.03172 |
| Opus 5 | $0.00049 | $0.01586 |
| Sonnet 5 | $0.00020 | $0.00634 |
| Haiku 4.5 | $0.00010 | $0.00317 |
Grade A, and why
ask-a-legend 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 11d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run a single-legend analysis from $ARGUMENTS — a legend (name/nickname), a
symbol, and optionally a timeframe and platform (e.g. "gann eurusd 15m",
"what does Wyckoff think of BTCUSD?", "livermore on AAPL from tradingview").
Default timeframe is 1h if omitted.
0. Bootstrap (every run — cheap and idempotent)
Run scripts/setup.sh (in this skill's own directory) and capture its stdout as TLC_HOME
(it clones/updates github.com/FXDavid-OffbeatForex/TLC under ~/.tlc/ and
installs requirements.txt into an isolated venv at $TLC_HOME/.venv).
cd "$TLC_HOME" and add the venv to PATH before every command below:
export PATH="$TLC_HOME/.venv/bin:$TLC_HOME/.venv/Scripts:$PATH" (POSIX
venvs use bin, Windows-native venvs use Scripts — only one will exist,
so prepending both is safe everywhere). This makes plain python3 (or
python on Windows, which usually has no python3 shim) resolve to the
venv with deps installed — not to any other Python that happens to be
on PATH (e.g. the harness's own bundled interpreter), which would silently
run against the wrong environment and fail with confusing import errors.
If the script fails, report the exact error — do not fall back to a
half-installed run.
Do all of this skill's work in the terminal tool, inside $TLC_HOME —
never execute_code or any other code-sandbox tool for tlc.* commands.
Those sandboxes are a separate, isolated Python environment without this
project's venv, MetaTrader5, or MBT's core module, so a tlc.* call there
fails with a misleading ModuleNotFoundError/NotImplementedError. Three rules
follow:
- An import/
ModuleNotFoundErroris almost never a real data outage. It means the wrong tool ran the command, or the venv/cwd from §0 didn't carry into this call. Re-assertcd "$TLC_HOME"+ the PATH export interminaland retry there. Never let such an error override data you already fetched successfully earlier in the same conversation — reuse that data, don't discard it. - Read and write this skill's files in
terminaltoo — tempframes.json/packet.json/ballot.json, spec files,config.yaml/.env. Every path here is relative to$TLC_HOME; if you use any other tool for a file, give it the absolute path under$TLC_HOME, or the next terminal command won't find it. - The fetched OHLCV packet is your only market-data source. Never substitute a price or quote from web search, a browser, or any other tool — that is a subtler form of fabricating data.
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.
- 11d ago First seen · 192 lines · 99 tokens per session scan A 4b22167ca3c2
ask-a-legend is a skill published in the GitHub repository FXDavid-OffbeatForex/tlc-hermes-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 99 tokens to every session and 3,172 once invoked, about $0.0005 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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