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skill-session-review

skill-session-review is a skill for Claude Code from bahayonghang/my-ai-cli-toolkit. It costs 127 tokens per session (1,965 once invoked), scanned A, original, MIT.

A tool for reviewing how an existing coding-agent skill performed in past conversations.

In plain words
What is it for?
It creates validated Markdown and self-contained HTML reports about a skill’s past sessions.
Why use it?
It helps identify problems in a skill’s instructions and usage without changing the skill being reviewed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions Claude Code.

not rated 16repo yesterday A scan SkillSpector: pass 127 tokens original MIT

Good fit It creates validated Markdown and self-contained HTML reports about a skill’s past sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bahayonghang/my-ai-cli-toolkit/skill-session-review
View source ↗ bahayonghang/my-ai-cli-toolkit
Install

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.

Any agent
npx skills add bahayonghang/my-ai-cli-toolkit --skill skill-session-review
Clone the repo
git clone --depth 1 https://github.com/bahayonghang/my-ai-cli-toolkit

Made for: Claude Code.

Wrote 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.

agentmods badge for skill-session-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/skill-session-review.svg)](https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/skill-session-review)
Your own site
<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/skill-session-review"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/skill-session-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,965 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00127 $0.01965
Opus 5 $0.00063 $0.00983
Sonnet 5 $0.00025 $0.00393
Haiku 4.5 $0.00013 $0.00197

Measured 8d ago against content hash 00b876d46cfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

skill-session-review 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 8d ago.

The scan reads SKILL.md. This mod also ships 18 executable files (scripts/ensure_report_ignore.py, scripts/manage_review_input.py, scripts/open_report.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/developer-tools-integrations/skill-session-review/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Session Review

In the commands below, <skill-dir> is this skill's base directory, announced when the skill loads. Substitute the literal path. On Windows, py -3 may replace python.

Review how a named existing skill was followed in real sessions. Persist a validated Markdown and self-contained HTML report package. Do not edit the target skill. Do not call qiaomu-meta to apply changes.

Hard gates

  • Do not write inside the target skill directory.
  • Do not emit diff.patch or edit SKILL.md of the target.
  • Do not run qiaomu-meta as part of this skill.
  • The only permitted side-effect types are two report artifacts, the repo-root .gitignore exact line through its independent helper, the governed .input/<name>.json through its input manager, and opening the generated HTML through open_report.py. The report-subtree helpers never modify .gitignore.
  • Permitted side-effect types are not authorization. Before any one is used, follow the exact preview and confirmation gates below. The named report package, each replacement, and .gitignore are separate confirmations.
  • The HTML report must be self-contained, with no external resource references or vendor promotion.
  • Do not print full private chats in the conversation. The report uses short excerpts only.

Workflow

  1. Resolve the target. Path → that instance. Name → if more than one SKILL.md, list paths and stop.
  2. Resolve the current repo root: git rev-parse --show-toplevel or an explicit root the user gave.
  3. Scan sessions:
python "<skill-dir>/scripts/scan_invocations.py" --skill-name <name> [--skill-path <abs>] --scope global --repo-root <abs>

Use --scope cwd only when the user asked to limit to this repository. Read invocation signals. Treat loaded and available as coverage, not as required-change evidence.

  1. Apply the zero-sample gate before reading private session slices. When all four stores are missing-store, output unrated: no-session-stores plus the four-platform coverage/counts and stop. When stores are available but no session is invoked, output unrated: no-invoked-sessions plus the same bounded counts and stop. Do not read slices, construct review JSON, call a helper, write a file, calculate a mean/ratio/overall/grade, or open a browser on either branch.
  2. With at least one invoked session, read the target SKILL.md (read-only) and invoked session slices. Score every invoked session with the review scorecard, and fill findings per the finding contract. Set language from the user's request language and set skill_name to the same canonical basename later passed as --name. Fill the declared aggregate, including overall and grade; helpers revalidate and recompute it with Decimal.
  3. Prepare authorization before running a side-effect helper:

Read the full file on GitHub · 148 lines

Files

What ships with it

26 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 148 lines · 127 tokens per session scan A 00b876d46cfd

Subscribe to this mod's changes

skill-session-review is a skill published in the GitHub repository bahayonghang/my-ai-cli-toolkit (16 stars, last pushed yesterday), licensed MIT. It adds 127 tokens to every session and 1,965 once invoked, about $0.0006 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 2026-08-30.

Building agentsClaude Codecodexdeveloper-tools-integrationsfeedbackgrokoh-my-pisession-reviewskills
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