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 pantheon-org/tekhne --skill context-radar-auditgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/context-radar-audit)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/context-radar-audit"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/context-radar-audit/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/pantheon-org/tekhne/context-radar-audit"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/context-radar-audit.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 | $0.00174 | $0.02099 |
| Opus 5.5 | $0.00070 | $0.00840 |
| Sonnet 5.5 | $0.00035 | $0.00420 |
| Haiku 4.5 | $0.00017 | $0.00210 |
Grade B, and why
context-radar-audit scanned grade B with 3 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 19d 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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**NEVER** edit global Claude Code config (`~/.claude/.mcp.json`, `~/.claude/settings.json`) as part of running this audit. **WHY:** Those files apply to every project on the machine; Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Reads MCP configurationlowAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
absence from `.mcp.json` doesn't mean absence from `settings.json` hooks. **BAD:** "tokensave isn't in any `.mcp.json`, so it's not installed." **GOOD:** Check both `.mcp.json` registrations and Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
A plain `WebFetch` or `curl` of `comparison.html` returns an empty `<table>`, because the page is rendered in the browser. Do not scrape the rendered HTML. The dataset (`{meta, layers, tools}`) is How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Radar Audit
Compare this machine's active Claude Code tooling against Context Radar's curated tool-stack recommendations, surface gaps and redundancies, and report findings: never remediate silently.
Prerequisites
- Network access to
raw.githubusercontent.com, where the dataset is published as plain JSON (see Gotcha below) nodeonPATH(used by both scripts; any recent version with globalfetchworks, tested on v24)- Read access to the Claude Code config directory (
$CLAUDE_CONFIG_DIR, default~/.claude):settings.json,.mcp.json,plugins/installed_plugins.json, and the target project's.mcp.json - The
create-context-fileskill, to file any findings as a follow-up rather than just stating them in chat
Gotcha: the comparison table is not in the HTML
A plain WebFetch or curl of comparison.html returns an empty <table>, because the page is rendered in the browser. Do not scrape the rendered HTML. The dataset ({meta, layers, tools}) is
published as data/context-reduction-tools.json in the public Context Radar repository, and the fetch script reads that file as JSON and checks its shape. It never executes fetched content:
node scripts/fetch-comparison-data.js > /tmp/context-radar-data.json
node -e "const d=require('/tmp/context-radar-data.json'); console.log(d.meta, d.layers.length, d.tools.length)"
d.meta carries last_updated, stars_verified, and tool_count: always report these alongside any findings so the audit is dated against a known snapshot, since tool verdicts and star counts
drift.
Data shape
layers[] and tools[] carry the fields the workflow below reads. layers[].cardinality is the
one field every redundancy finding hinges on (pick-one/either-or means install exactly one for
that layer; stackable means several may coexist), and tools[].verdict.decision is the other
(drop is a removal finding on its own). See the Data shape reference for the full field list,
what each one means, and worked examples.
What ships with it
22 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.
- .audits/2026-10-02/Analysis.md 580 B
- .audits/2026-10-02/audit.json 774 B
- .audits/2026-10-02/Remediation.md 1.5 KB
- CHANGELOG.md 862 B
- evals/eval-set.json 2.1 KB
- evals/instructions.json 5.4 KB
- evals/scenario-1/capability.txt 124 B
- evals/scenario-1/criteria.json 2.1 KB
- evals/scenario-1/task.md 3.0 KB
- evals/scenario-2/capability.txt 160 B
- evals/scenario-2/criteria.json 2.0 KB
- evals/scenario-2/task.md 2.7 KB
- evals/scenario-3/capability.txt 167 B
- evals/scenario-3/criteria.json 2.0 KB
- evals/scenario-3/task.md 2.8 KB
- evals/scenario-4/capability.txt 137 B
- evals/scenario-4/criteria.json 1.9 KB
- evals/scenario-4/task.md 2.4 KB
- evals/summary.json 580 B
- references/data-shape.md 3.5 KB
- scripts/collect-active-tools.sh 2.5 KB runs code
- scripts/fetch-comparison-data.js 1.1 KB runs code
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.
- 19d ago First seen · 109 lines · 174 tokens per session scan B a1bc107b6317
context-radar-audit is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 174 tokens to every session and 2,099 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it B with 3 findings (reads agent configuration directories, reads mcp configuration, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-29.
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