Borrowing it
Nothing to install: this file belongs to harshithsunku/mcp-gtags-server. 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/harshithsunku/mcp-gtags-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/harshithsunku/mcp-gtags-serverWrote 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/instructions/harshithsunku/mcp-gtags-server/claude-md)<a href="https://agentmods.dev/instructions/harshithsunku/mcp-gtags-server/claude-md"><img src="https://agentmods.dev/badge/instructions/harshithsunku/mcp-gtags-server/claude-md/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/instructions/harshithsunku/mcp-gtags-server/claude-md"><img src="https://agentmods.dev/badge/instructions/harshithsunku/mcp-gtags-server/claude-md.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 | $0.02310 | $0.02310 |
| Opus 5 | $0.01155 | $0.01155 |
| Sonnet 5 | $0.00462 | $0.00462 |
| Haiku 4.5 | $0.00231 | $0.00231 |
Grade A, and why
mcp-gtags-server CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Context for AI assistants working on this repository.
What this project is
mcp-gtags-server — an MCP (Model Context Protocol) server that exposes GNU Global
(gtags) code navigation for C/C++ codebases, tuned for Linux-kernel-scale trees
(37M+ lines). Published to PyPI, the MCP Registry (io.github.harshithsunku/mcp-gtags-server),
and as a Claude Desktop .mcpb bundle. Python ≥ 3.10, packaged with uv.
The pitch: indexed symbol lookups instead of grep, with kernel-specific smarts that
plain gtags lacks — macro-generated symbol resolution (SYSCALL_DEFINE3,
DEFINE_SPINLOCK, …), recovery of definitions the Global parser missed (via their
EXPORT_SYMBOL* site + ctags), #ifdef guard stacks on every result, and
kernel-.config-aware filtering (active_config).
Layout
src/gtags_mcp/
server.py (~2300 lines) MCP tools, root detection, index lifecycle, CLI main()
toolchain.py toolchain install: managed GNU Global/ctags/Pygments in ~/.gtags-mcp
guards.py #if/#ifdef guard-stack scanner + active_config evaluation
macros.py macro-generated symbol resolution (SYSCALL_DEFINE etc.), EXPORT_SYMBOL detection
enrich.py ctags metadata enrichment (kind/typeref/scope/signature); probe_binary + cache
config.py settings: CLI flag > env var > project .gtags-mcp.toml > user config > default
user config: ${XDG_CONFIG_HOME:-~/.config}/gtags-mcp/config.toml
output.py JSON envelope: {tool, root, results, total, truncated, hints, message, ...}
fileset.py file listing helpers
evalharness.py golden-set eval runner (see Evals below)
tests/ pytest suite (315 tests, ~4s, no network; heavy use of tmp fixture projects)
evals/golden.jsonl 65-case golden set run against a real kernel tree
evals/agent/ agent A/B eval harness (run_ab.py, grade.py, questions.jsonl)
scripts/stability_exercise.py operational latency/size matrix against a real tree
docs/capability.md capability matrix; docs/bringup-hurdles.md
mcpb/manifest.json Claude Desktop bundle manifest
.github/workflows/ ci.yml, eval.yml, publish.yml, publish-registry.yml, release-binaries.yml
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 · 157 lines · 2,310 tokens per session scan A b679ec849022
mcp-gtags-server CLAUDE.md is an instructions file published in the GitHub repository harshithsunku/mcp-gtags-server (1 stars, last pushed 1mo ago), licensed MIT. It adds 2,310 tokens to every session, about $0.0115 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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