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 tomsej/pi-ext --skill semgit clone --depth 1 https://github.com/tomsej/pi-extWrote 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/tomsej/pi-ext/sem)<a href="https://agentmods.dev/skills/tomsej/pi-ext/sem"><img src="https://agentmods.dev/badge/skills/tomsej/pi-ext/sem/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/tomsej/pi-ext/sem"><img src="https://agentmods.dev/badge/skills/tomsej/pi-ext/sem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 72 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00075 | $0.00726 |
| Opus 5.5 | $0.00030 | $0.00290 |
| Sonnet 5.5 | $0.00015 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
sem 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sem
Use the pi-sem tools as a semantic lens, not as a universal replacement for raw git diff.
Default decision tree
Choose the smallest useful tool first:
-
Focused understanding of one entity →
sem_context- Best for a single function, method, class, block, or config section
- Prefer this before reading a whole large file
-
Blast radius / affected tests / hidden dependents →
sem_impact- Use when reasoning about what could break
- Prefer
scope=testsfor test selection - Prefer
scope=allwhen validating broader impact
-
Structural inventory of a file →
sem_entities- Use before drilling into a suspicious file
- Good for large files and mixed code/config files
-
What changed across a commit/range/working tree →
sem_diff- Use for semantic summaries, entity counts, and review overviews
- Do not default to it when you only need exact patch details or a single entity
-
History / ownership of an entity →
sem_log,sem_blame- Use for regressions, archaeology, and ownership questions
Review workflow
For commit / branch / PR review:
- Run
sem_diffonce for a semantic overview - Pick the riskiest changed entities
- Run
sem_impacton those entities - Run
sem_contexton the suspicious ones you need to understand deeply - Confirm final findings with raw
git diff,read, or direct file inspection before citing line numbers
For snapshot / folder review:
- Start with
sem_entities - Use
sem_contexton the most relevant entities - Use
sem_impactonly after you identify something suspicious
Important caveats
sem diff --format jsonis not always smaller than rawgit diffsemmay under-cover tests, assets, generated files, or non-semantic glue code- Do not cite
semoutput alone as final evidence for line-level review comments - If semantic coverage looks incomplete, fall back to raw
git diff,read,grep, and file inspection
Good prompts / tool choices
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 First seen · 73 lines · 75 tokens per session scan A 0ef8a0f86fff
sem is a skill published in the GitHub repository tomsej/pi-ext (79 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 726 once invoked, about $0.0003 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 2026-08-30.
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