Borrowing it
Nothing to install: this file belongs to kok-o/contextos-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kok-o/contextos-agents/main/.agents/core/skills/gemini-precision/SKILL.mdgit clone --depth 1 https://github.com/kok-o/contextos-agentsWrote 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/kok-o/contextos-agents/gemini-precision)<a href="https://agentmods.dev/skills/kok-o/contextos-agents/gemini-precision"><img src="https://agentmods.dev/badge/skills/kok-o/contextos-agents/gemini-precision/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/kok-o/contextos-agents/gemini-precision"><img src="https://agentmods.dev/badge/skills/kok-o/contextos-agents/gemini-precision.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 | $0.00022 | $0.00303 |
| Opus 5.5 | $0.00009 | $0.00121 |
| Sonnet 5.5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
gemini-precision 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 today.
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
gemini-precision
Overview
Apply inspection and execution discipline when working with Gemini. Model-specific quality or performance gains require separate measured comparisons.
When to Use
Gemini implementation and debugging tasks, or an explicit request for this guidance.
Rules & Patterns
Inspect affected source, callers, symbols, runtime versions, and project checks. Implement the authorized behavior completely; never substitute stubs for a required integration. Preserve unrelated code. Choose checks by risk using engineering-workflow. Keep a persistent plan for substantial multi-file work when useful, not for every three tool calls. Explain meaningful decisions; role banners are optional.
Read EXAMPLES.md for a runnable validation example and its limits.
Code Examples
A validated calculation can be verified in isolation. It does not prove a payment was persisted or executed.
Validation Checklist
- The requested outcome and applicable failure cases are checked.
- Evidence names commands, results, scope, and limitations.
- Unrelated changes and existing authorization are preserved.
Common Mistakes
Guessing imports; declaring success without relevant evidence; repeated role banners; running every project gate for a typo; presenting model-specific gains without measurement.
Integration Notes
engineering-workflow owns the lifecycle, ponytail-mindset owns complexity choices, and security owns protected boundaries. This guidance supplements those skills for Gemini.
What ships with it
4 files 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.
- today First seen · 39 lines · 22 tokens per session scan A d0e1c8331b25
gemini-precision is a skill published in the GitHub repository kok-o/contextos-agents (10 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 303 once invoked, about $0.0001 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 2026-10-25.
Other skills, from other repositories
systemic-issue-triage
Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.
issue-root-resolution
Trigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.
rdd-defect-workflow
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
debug-live
Guides root-cause investigations with debugging capabilities by setting breakpoints, starting a debug session, stepping through execution, inspecting variables, and tracing symptoms back to their origin. Prefer it for runtime bugs, failing tests, exceptions, crashes, hangs, wrong/null values, and unexpected output…
debug-helper
Help debug code by analyzing error messages, identifying root causes, and providing fix suggestions.
post-mortem
Diagnose instruction defects and optionally submit Rosetta GitHub issue.