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 agentmods add commands/xtofuub/frida-mcp-server/validategit clone --depth 1 https://github.com/xtofuub/frida-mcp-serverWhat 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 | $0.00019 | $0.00307 |
| Opus 5 | $0.00010 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
validate 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 3d 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
Validate the candidate findings for $ARGUMENTS. Delegate to the
ios-validator subagent. Every candidate must clear the 7-question gate:
- Reproducible? Re-run the exact
mcp__frida__*calls — does it trigger again? - Real impact? Concrete attacker capability, not theoretical.
- In scope / app's fault? Not OS behavior, not a deliberate debug build artifact.
- Attacker-reachable? Reachable without already owning the device/root, or state the precondition honestly.
- Not a duplicate? Check
python scripts/memory.py query audit --bundle <id>. - Evidence captured? Request/response, file contents, key material, or trace.
- MASVS-mapped? Tie to a control in
references/masvs-checklist.md; assign severity (🔴/🟠/🟡/🟢).
Drop anything that fails. For survivors, write the validated record:
python scripts/memory.py log audit --bundle <id> --json '{...}'.
Output: a kept/killed table with the reason for each kill, and the validated set
ready for /report.
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.
- 3d ago First seen · 24 lines · 19 tokens per session scan A aa8c4e3a1911
validate is a command published in the GitHub repository xtofuub/frida-mcp-server (3 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 307 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.