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 skills/eveld/claude/verify-implementationnpx skills add eveld/claude --skill verify-implementationgit clone --depth 1 https://github.com/eveld/claudeWhat 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 | $0.00024 | $0.00751 |
| Opus 5 | $0.00012 | $0.00376 |
| Sonnet 5 | $0.00005 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
verify-implementation 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 2d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify Implementation
Run verification commands after implementing changes to ensure correctness.
Verification Sources
Check thoughts/notes/commands.md (created by discover-project-commands skill) for:
- Available test commands
- Linting commands
- Build commands
- Other project-specific verification
IMPORTANT: Always Use Verification Agent
DO NOT run verification commands directly in main context.
Spawn a verification agent to run checks and return summary:
Task(subagent_type="Bash",
prompt="Run verification commands from plan success criteria:
- make test
- make lint
- make build
[list all automated checks from plan]
Return concise summary:
- If all pass: ✅ All verification passed
- If any fail: ❌ Verification failed
- List ONLY the failing checks
- Include first few lines of error
- Omit stack traces and verbose output
Maximum output: 2k tokens")
Why use an agent:
- Raw output can be 10k+ tokens (floods main agent context)
- Agent filters to only essential info (1-2k tokens)
- Keeps main agent focused on implementation
- Part of token management strategy (see
spawn-implementation-agents)
Agent returns:
- ✅ Pass status or ❌ Fail status
- Only failed checks (not successful ones)
- First few lines of errors (not full output)
- Actionable information only
Common Verification Steps
1. Run Tests
Check commands.md, then run appropriate command:
make test- If Make target existsnpm test- If npm script existsgo test ./...- Direct Go commandpytest- Direct Python command
2. Run Linting
Check commands.md, then run:
make lint- If Make target existsnpm run lint- If npm script existsgolangci-lint run- Direct Go commandeslint .- Direct JavaScript command
3. Build Check
Check commands.md, then run:
make build- If Make target existsnpm run build- If npm script existsgo build ./...- Direct Go command
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.
- 2d ago First seen · 117 lines · 24 tokens per session scan A e95c3dae9b5f
verify-implementation is a skill published in the GitHub repository eveld/claude (10 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 751 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.
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