Borrowing it
Nothing to install: this file belongs to aimasteracc/tree-sitter-analyzer. 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/aimasteracc/tree-sitter-analyzer/main/.claude/skills/tsa-edit-then-verify/SKILL.mdgit clone --depth 1 https://github.com/aimasteracc/tree-sitter-analyzerWrote 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/aimasteracc/tree-sitter-analyzer/tsa-edit-then-verify)<a href="https://agentmods.dev/skills/aimasteracc/tree-sitter-analyzer/tsa-edit-then-verify"><img src="https://agentmods.dev/badge/skills/aimasteracc/tree-sitter-analyzer/tsa-edit-then-verify/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/aimasteracc/tree-sitter-analyzer/tsa-edit-then-verify"><img src="https://agentmods.dev/badge/skills/aimasteracc/tree-sitter-analyzer/tsa-edit-then-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00267 | $0.03720 |
| Opus 5.5 | $0.00107 | $0.01488 |
| Sonnet 5.5 | $0.00053 | $0.00744 |
| Haiku 4.5 | $0.00027 | $0.00372 |
Grade A, and why
tsa-edit-then-verify 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tsa-edit-then-verify — The full edit loop, scoped not full-suite
Source of authority. From
docs/agent-tooling-gap-report.mdline 58:Every feature update must run the self-hosted workflow:
edit action=safebefore risky edits,health action=fileon changed files,edit action=impactafter edits, its reportedverification_command, then the full default suite when risk remains.This skill is the executable form of that rule.
tsa-edit-safetyonly covers Phase A (the pre-edit gate). This skill covers A + B + C end-to-end and is the canonical replacement for the globalverifyskill (which runs the full ~5-minute suite every time).
When to use vs. not
Use when you're about to edit (or just edited) a real code file in this repo and the change is more than a 1-line cosmetic fix. The smaller the diff, the bigger the win — full pytest is ~5 min, scoped verification is typically 30-60s.
Don't use for:
- One-line typo in a doc/comment (no Python AST impact)
- Pure markdown / README edits (no symbol-level risk)
- File you're creating from scratch with no callers yet
- Read-only exploration
Why this exists (vs. verify skill)
| Skill | What it runs | Time | When right |
|---|---|---|---|
verify (global) |
uv run pytest -q (15k tests) |
~5 min | Pre-commit gate, large refactor |
tsa-edit-then-verify |
scoped verification_command from edit action=impact |
30-60s | Every feature update (the mandate) |
tsa-edit-safety |
Pre-edit verdict only | ~3s | "Is this safe to touch?" — no edit yet |
The scoped command targets only the tests reachable from the changed symbols,
via the AST call-graph. That's the whole point — edit action=impact
returns a verification_command that's narrower than pytest -q but still
covers the blast radius the AST sees.
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 Changed 8bd8641e2ae9
- 2mo ago First seen · 337 lines · 267 tokens per session scan A ba76fab3e35d
tsa-edit-then-verify is a skill published in the GitHub repository aimasteracc/tree-sitter-analyzer (61 stars, last pushed today), licensed MIT. It adds 267 tokens to every session and 3,720 once invoked, about $0.0011 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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