Agent skill

PR Inline Comments

by sesori-ai in sesori-ai/sesori_apps_monorepo

Fetch inline (code) review comments on a GitHub pull request, grouped into threads, with optional filtering by datetime.

Custom licenceAuto-check passedDevelopment

Install PR Inline Comments

skills CLI
$ npx skills add sesori-ai/sesori_apps_monorepo --skill pr-inline-comments -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sesori-ai/sesori_apps_monorepo pr-inline-comments --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sesori-ai/sesori_apps_monorepo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/pr-inline-comments .claude/skills/pr-inline-comments && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pr-inline-comments
GitHub stars
126
Token cost
~2.3k tokens
SKILL.md length
901 words
Files
2 (incl. scripts)
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

Fetch inline (code) review comments on a GitHub pull request, grouped into threads, with optional filtering by datetime.

  • Works in 4 steps: Parse the request for the PR number, an… → Resolve any natural-language datetime to… → Run the script. → …
  • The user asks to read
  • SKILL.md covers Role, Output schema, Invocation and --since accepted formats, plus 5 more sections
  • Runs Shell scripts from its folder; calls gh, python3 and git; reaches github.com

What it does

PR Inline Comments is an agent skill from sesori-ai/sesori_apps_monorepo. Fetch inline (code) review comments on a GitHub pull request, grouped into threads, with optional filtering by datetime. Use when the user asks to read or address PR comments, code review feedback, reviewer notes, or wants to see only recent review activity on a PR. Resolves natural-language time windows like "last 30 minutes", "since yesterday 5 PM", or "since commit abc123" into ISO 8601 before invoking the script. Should be invoked as a sub-agent so the large JSON result stays out of the main agent context…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/fetch.sh`).

It sits in Development, covering Technical documentation, Subagents and Codebase knowledge for agents. It works with GitHub. The repository describes itself as: Sesori iOS/Android app and the Sesori Bridge CLI — drive Claude, Codex, OpenCode, Cursor, Pi, OMP, Hermes coding sessions from your phone.

When your agent uses it

  • The user asks to read
  • Address PR comments
  • Code review feedback
  • Wants to see only recent review activity on a PR

Example prompts

  • “last 30 minutes”
  • “since yesterday 5 PM”
  • “since commit abc123”
  • “/pr-inline-comments”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Parse the request for the PR number, an optional time window, and whether to filter to unresolved.
  2. Resolve any natural-language datetime to ISO 8601 as described below.
  3. Run the script.
  4. Return the result.

What it can do on your machine

Read from SKILL.md and the folder at commit 55c7d4c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • gh
    • python3
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PR Inline Comments loads about 2.3k tokens when it runs. Until then it costs about 160 tokens; SKILL.md has 901 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~160
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 901 words (~2,281 tokens).

“Returns inline code review comments on a PR, grouped into threads, optionally filtered by datetime and/or resolution status. Issue-level PR comments (those not anchored to a line of code) are not included.”

— opening of SKILL.md by sesori-ai, Custom licence
name
pr-inline-comments

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .opencode/skills/pr-inline-comments of sesori-ai/sesori_apps_monorepo.

  • SKILL.md
  • scripts/fetch.sh

Open the folder on GitHubat commit 55c7d4c

Compare with similar skills

PR Inline Comments next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

PR Inline Comments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PR Inline Comments this skillsesori-ai/sesori_apps_monorepo126—~2.3kAutomated safety check: PassCustom licence
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0
Cherry Studio PR ReviewCherryHQ/cherry-studio52k—~3.9kAutomated safety check: PassAGPL-3.0
Post Draft Reviewagent-substrate/substrate4.6k—~2.8kAutomated safety check: PassApache-2.0
PR Reviewjaemk/self_update961—~1.5kAutomated safety check: NotesMIT
PR Reviewjaemk/cached2.1k—~2.5kAutomated safety check: NotesMIT

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Works with

Categories

Questions about PR Inline Comments

What does PR Inline Comments do?

Fetch inline (code) review comments on a GitHub pull request, grouped into threads, with optional filtering by datetime. PR Inline Comments is an agent skill from sesori-ai/sesori_apps_monorepo. Fetch inline (code) review comments on a GitHub pull request, grouped into threads, with optional filtering by datetime.

When should I use PR Inline Comments?

PR Inline Comments fits situations like: the user asks to read; address PR comments; code review feedback; wants to see only recent review activity on a PR.

How do I install PR Inline Comments in Claude Code?

Run `npx skills add sesori-ai/sesori_apps_monorepo --skill pr-inline-comments -a claude-code`. Or copy the skill folder (.opencode/skills/pr-inline-comments in sesori-ai/sesori_apps_monorepo) into .claude/skills/pr-inline-comments in your project. Claude Code loads it when a task matches its description.

How do I install PR Inline Comments in Codex?

Run `npx skills add sesori-ai/sesori_apps_monorepo --skill pr-inline-comments -a codex`. Or copy the skill folder (.opencode/skills/pr-inline-comments in sesori-ai/sesori_apps_monorepo) into .agents/skills/pr-inline-comments in your project. Codex loads it when a task matches its description.

Can I use PR Inline Comments in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sesori-ai/sesori_apps_monorepo --skill pr-inline-comments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pr-inline-comments, .gemini/skills/pr-inline-comments, .github/skills/pr-inline-comments and .opencode/skills/pr-inline-comments in your project.

What does PR Inline Comments need to run?

Going by SKILL.md and its folder, PR Inline Comments needs a shell for the scripts in its folder and the command-line tools its instructions call (gh, python3 and git). Our summary lists: Python 3; A Bash shell.

Does PR Inline Comments access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is PR Inline Comments safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does PR Inline Comments use?

PR Inline Comments has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does PR Inline Comments use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PR Inline Comments?

Skills that share tags, products or a category with PR Inline Comments: GitHub Review Iteration (prisma/orm, 48k stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars), Post Draft Review (agent-substrate/substrate, 4.6k stars) and PR Review (jaemk/self_update, 961 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PR Inline Comments?

sesori-ai (a GitHub organization) maintains it in sesori-ai/sesori_apps_monorepo, which has 126 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: sesori-ai/sesori_apps_monorepo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.