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 pedroiff0/awesome-skills --skill context-modegit clone --depth 1 https://github.com/pedroiff0/awesome-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/pedroiff0/awesome-skills/context-mode)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/context-mode"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/context-mode/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/pedroiff0/awesome-skills/context-mode"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/context-mode.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 | $0.00029 | $0.00292 |
| Opus 5 | $0.00015 | $0.00146 |
| Sonnet 5 | $0.00006 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
context-mode 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 9d 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
Context Mode & Token Optimization
This skill provides operational patterns for navigating massive repositories while conserving context tokens using indexed searches, AST filters, and structured outputs.
When to Use
- Reading large log files (>500 lines) or analyzing multi-megabyte code repositories.
- Performing symbol lookups across hundreds of files without flooding context.
- Running high-volume batch executions or lint sweeps.
Operational Guidelines
- Targeted Line Range Views: Avoid dumping entire files; view slices using line offsets (
view_filewithStartLineandEndLine). - Grep Before View: Use ripgrep (
grep_search) to locate exact function definitions or usages before loading the containing file. - Subagent Offloading: For deep exploratory research, invoke an isolated research subagent (
invoke_subagent) to read docs and summarize findings back to parent context.
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.
- 9d ago First seen · 29 lines · 29 tokens per session scan A a21f54c779ac
context-mode is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 292 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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