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 sdi2200262/cc-get-my-context --skill get-my-contextgit clone --depth 1 https://github.com/sdi2200262/cc-get-my-contextWrote 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/sdi2200262/cc-get-my-context/get-my-context)<a href="https://agentmods.dev/skills/sdi2200262/cc-get-my-context/get-my-context"><img src="https://agentmods.dev/badge/skills/sdi2200262/cc-get-my-context/get-my-context/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/sdi2200262/cc-get-my-context/get-my-context"><img src="https://agentmods.dev/badge/skills/sdi2200262/cc-get-my-context/get-my-context.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 | $0.00076 | $0.00663 |
| Opus 5 | $0.00038 | $0.00331 |
| Sonnet 5 | $0.00015 | $0.00133 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
get-my-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Current context window status
!bash "${CLAUDE_SKILL_DIR}/get-context.sh" "${CLAUDE_SESSION_ID}"
Treat the line above as ground truth for this session. Report it directly when asked, or use it to decide whether to start new work, wrap up, or suggest /compact. Do not estimate or hedge.
If the reading looks miscalibrated, fix it for the user
The script defaults to a 200,000-token window because plan info isn't exposed to skills. If the active model is a 1M-context variant (model id ends in [1m], or the user has stated they're on Max/Team/Enterprise with Opus, or any other 1M-eligible setup), the reading will be ~5× too high.
Your job is to detect this and fix it for the user, not to make them do it.
When you detect a mismatch:
- Recompute the percentage against 1M and report the corrected number for this turn (e.g. "the script reads 50% on a 200k denominator, but you're on a 1M model — actual usage is ~10%").
- Tell the user you can save the calibration so future invocations are correct without recomputing, and ask for confirmation.
- On confirmation, run:
echo 1000000 > "${CLAUDE_SKILL_DIR}/window.conf" - Future invocations will read this file and report against 1M directly.
Detection signals (any one is enough; the first is usually the strongest):
- Your own system prompt tells you which model variant you are running. If it identifies you as Opus 4.7/4.6 1M context or Sonnet 4.6 1M context, the script's 200k default is wrong — you are on 1M. (The transcript only records the bare model id like
claude-opus-4-7, no[1m]suffix, even when 1M is active via Max/Team/Enterprise auto-upgrade — so the script can't see this, but you can.) - The model id in the script output literally ends in
[1m](Pro/API explicit-suffix case). - The user has stated their plan in this conversation (e.g. "I'm on Max", "Opus 1M").
- A previous turn established the plan and you remember it from context.
Do not write window.conf preemptively. Only after the user confirms. The 200k default is correct for API users, Pro without [1m], and any model with no 1M variant — so don't assume 1M without a positive signal.
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.
- 12d ago First seen · 36 lines · 76 tokens per session scan A 29c2e6a31f67
get-my-context is a skill published in the GitHub repository sdi2200262/cc-get-my-context (5 stars, last pushed 4mo ago), licensed MIT. It adds 76 tokens to every session and 663 once invoked, about $0.0004 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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