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 IamK77/Skill --skill gaugegit clone --depth 1 https://github.com/IamK77/SkillWrote 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/iamk77/skill/gauge)<a href="https://agentmods.dev/skills/iamk77/skill/gauge"><img src="https://agentmods.dev/badge/skills/iamk77/skill/gauge/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/iamk77/skill/gauge"><img src="https://agentmods.dev/badge/skills/iamk77/skill/gauge.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 | $0.00039 | $0.01165 |
| Opus 5.5 | $0.00016 | $0.00466 |
| Sonnet 5.5 | $0.00008 | $0.00233 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
gauge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gauge
Install or tune useful static feedback for a codebase and verify that it catches representative mistakes. Use for type-checking and lint feedback loops, not claims that static checks prove correctness.
Inputs
Target language/toolchain; existing diagnostics and configuration; failures worth preventing; actual static-check command.
Run record
Use checklist 0.5 or newer for this SOP. Reading or reloading the skill must not reset work. For a new task, run checklist init "${CLAUDE_SKILL_DIR}" --new --path "/absolute/project"; retain its returned ID as RUN. For existing work, use checklist resume "$RUN", then checklist show --run "$RUN". Outside Claude, replace the skill-directory variable with this directory’s actual path.
Commands below record work after it is done. Replace evidence placeholders with concise artifact locations and observations. Manual confirmations are not independent proof; a sensor pass covers only the command and inputs it observed. verify does not close a stage; advance checks that its required readings are fulfilled. Use report --run "$RUN" for the retained history.
Before starting, inspect the project and bind TYPECHECK_CMD to its real trusted command with --var 'TYPECHECK_CMD=<actual command>'. Do not use an echo/no-op to produce a green result. checklist resume "$RUN" --var 'TYPECHECK_CMD=<new command>' changes the binding and invalidates earlier readings; commands and output are stored locally, so do not bind secrets.
Procedure
baseline
Read existing tool configuration and measure the present diagnostic baseline. Choose a feedback loop for errors that matter in this project, not a generic strictness score.
Record these artifacts after doing the work:
- Current configuration and diagnostic baseline are recorded.
checklist check baseline baseline --run "$RUN" --evidence "<artifact and observation>" - Target error classes and acceptable adoption scope are named.
checklist check baseline goal --run "$RUN" --evidence "<artifact and observation>"
What ships with it
9 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.
- 1mo ago Changed · -45 lines · -145 tokens per session b278bf83f258
- 2mo ago First seen · 141 lines · 184 tokens per session scan A 77c686d7b111
gauge is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,165 once invoked, about $0.0002 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 2026-08-31.
gauge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gaugeIamK77/Skill | Skill | 2 | 1mo ago | Apache-2.0 | A | 39 | Claude Code |
| agents-v2-pylingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 39 | Claude Code |
| analytics-productlingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 35 | Claude Code |
| api-security-best-practiceslingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 29 | Claude Code |
| antigravity-workflowslingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 41 | Claude Code |
| apex-skillifytonone-ai/tonone | Skill | 77 | 4d ago | MIT | A | 41 | Claude Code |
| oci-services-expertfrankxai/claude-skills-library | Skill | 47 | yesterday | MIT | A | 43 | Claude Code |