Agent Browser
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Executive daily briefing aggregating reports from all agents into decision-focused summary.
Install Briefing
$ npx skills add softspark/ai-toolkit --skill briefing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install softspark/ai-toolkit briefing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/briefing .claude/skills/briefing && rm -rf skills-srcUse ~/.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/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .claude/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add softspark/ai-toolkit --skill briefing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install softspark/ai-toolkit briefing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/skills/briefing .agents/skills/briefing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .agents/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add softspark/ai-toolkit --skill briefing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install softspark/ai-toolkit briefing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/skills/briefing .cursor/skills/briefing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .cursor/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/softspark/ai-toolkit.git --path app/skills/briefing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add softspark/ai-toolkit --skill briefing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install softspark/ai-toolkit briefing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/skills/briefing .gemini/skills/briefing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .gemini/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install softspark/ai-toolkit briefingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add softspark/ai-toolkit --skill briefing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/skills/briefing .github/skills/briefing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .github/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add softspark/ai-toolkit --skill briefing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install softspark/ai-toolkit briefing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/skills/briefing .opencode/skills/briefing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "briefing" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/briefing into .opencode/skills/briefing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "briefing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
briefing- GitHub stars
- 179
- Token cost
- ~1.3k tokens
- SKILL.md length
- 482 words
- Files
- 1
- Skills in repo
- 112
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Executive daily briefing aggregating reports from all agents into decision-focused summary.
- Works in 4 steps: Collect: Gather logs from kb/learnings/,… → Synthesize: Group by category (Ops,… → Filter: Remove low-priority success logs. → …
- Productivity & Automation work in your project
- SKILL.md covers Usage, Protocol, Example and Rules, plus 3 more sections
- Calls python3 and jq
What it does
Briefing is an agent skill from softspark/ai-toolkit. Executive daily briefing aggregating reports from all agents into decision-focused summary. Triggers: briefing, daily summary, status across system, executive update.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.
When your agent uses it
- Productivity & Automation work in your project
Example prompts
- “/briefing”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Grep, Glob
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Collect: Gather logs from kb/learnings/, maintenance/ logs, and recent runs.
- Synthesize: Group by category (Ops, Strategy, Actions).
- Filter: Remove low-priority success logs.
- Present: Render the Daily Brief.
What it can do on your machine
Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Briefing loads about 1.3k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 482 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 482 words, ~1,325 tokens.
Download SKILL.mdSave it as
.claude/skills/briefing/SKILL.md (or your agent's skills folder).- name
- briefing
- description
- Executive daily briefing aggregating reports from all agents into decision-focused summary. Triggers: briefing, daily summary, status across system, executive update.
- allowed-tools
- Read, Grep, Glob
- effort
- medium
- disable-model-invocation
- true
- agent
- chief-of-staff
- context
- fork
Briefing Command
Triggers the Chief of Staff to generate an executive summary.
Usage
/briefing [period]
# Example: /briefing today
# Example: /briefing week
/briefing --tokens [--since 7d|24h|30m]
# Reports real session token usage from Claude Code JSONL.Protocol
- Collect: Gather logs from
kb/learnings/,maintenance/logs, and recent runs. - Synthesize: Group by category (Ops, Strategy, Actions).
- Filter: Remove low-priority success logs.
- Present: Render the Daily Brief.
Example
## Daily Brief — 2026-04-23
### Ops
- night-watch: 3 dep updates shipped, 1 rolled back (breaking change in `x-pkg@2.0`)
- health: all green except `mailpit` (degraded, non-critical)
### Strategy
- predict: new PR #42 overlaps with in-flight refactor in `/src/auth`
### Actions needed
- Review rollback from night-watch (ETA: 5 min)
- Decide on `x-pkg` pin strategy (open question on GitHub #41)Rules
- MUST stay under 200 words unless the user explicitly asks for more detail
- MUST lead with decision-relevant facts, not chronology — "what should I act on" before "what happened"
- NEVER invent agent activity — report only what the logs show; absence of logs means "no data", not "nothing happened"
- CRITICAL: separate Ops (what ran) from Strategy (what was decided) from Actions (what needs a human) — mixing them defeats the brief
- MANDATORY: when no material activity exists for a category, omit the category heading instead of writing "none"
Gotchas
kb/learnings/often mixes drafts with completed entries. Filter by frontmatterstatus: finalor by filename convention before aggregating.maintenance/branch logs from/night-watchuse a different format (Shift Report markdown) than agent run logs. Do not concatenate blindly — parse each source separately and normalize.- "Recent runs" without an explicit time bound defaults to everything on some log backends. Always pass
--sinceor a date filter, or you will read a week into yesterday's memory. - Successful runs outnumber interesting runs by an order of magnitude. Aggressively filter green/noop entries — they are the signal's noise floor.
Token Receipts
The --tokens flag reports real token usage parsed from Claude Code session JSONL — not estimates. Useful for:
- Verifying
output-mode: conciseactually reduces tokens vs default sessions - Spotting expensive runs before they show up on the bill
- Capturing a baseline before changing prompts or skills
Underlying script: scripts/session_token_stats.py.
# Aggregate current session
python3 scripts/session_token_stats.py --json
# Statusline-friendly one-line output
python3 scripts/session_token_stats.py --statusline
# Trend vs baseline
python3 scripts/session_token_stats.py --statusline --baseline ~/.softspark/ai-toolkit/baseline.jsonShow full SKILL.md (206 more words)Show less
Status line (installed by default in v3.2.0+)
ai-toolkit install wires ~/.claude/settings.json to app/hooks/ai-toolkit-statusline.sh. The hook reads native Claude Code statusLine stdin (no session JSONL parsing) and renders one line:
➜ <dir> git:(branch) ✗ ████░░░░░░ 43% ↑6.5k ↓252k effort:xhigh <model>Segments left to right:
➜ <dir>— current directory basenamegit:(branch) ✗— git branch + dirty marker- 10-cell progress bar for context-window usage. Color tiers: green
<70%, orange70–89%, red≥90% ↑in ↓out— token arrows. Green up = input (upload), red down = output (download). Both cumulative across the session.effort:level— Claude Code effort level (low / medium / high / xhigh)- model name
Custom statusLine entries you set yourself (without the _source: ai-toolkit tag) are preserved untouched on install.
Opt-outs (no reinstall required):
AI_TOOLKIT_STATUSLINE_DISABLE=1— silence the line entirelyAI_TOOLKIT_STATUSLINE_NO_TOKENS=1— hide token arrows segmentAI_TOOLKIT_STATUSLINE_NO_GIT=1— hide git segmentAI_TOOLKIT_STATUSLINE_NO_EFFORT=1— hide effort level segmentAI_TOOLKIT_STATUSLINE_NO_COLOR=1— disable ANSI colorsAI_TOOLKIT_STATUSLINE_SHOW_COST=1— append Claude Code's reported cost (cost.total_cost_usd)AI_TOOLKIT_STATUSLINE_DUMP=1— write received stdin to/tmp/cc-statusline-input.json(debug)
Save a baseline
python3 scripts/session_token_stats.py --json | jq '.totals' > ~/.softspark/ai-toolkit/baseline.json
export AI_TOOLKIT_STATUSLINE_BASELINE=~/.softspark/ai-toolkit/baseline.jsonThe statusline then renders trend arrows (↑ / ↓) against that baseline.
When NOT to Use
- For a specific production incident — use
/workflow incident-response - For one-agent activity detail — read that agent's logs directly (
kb/learnings/<agent>/) - For planning future work — use
/planor/prd-to-plan - For a technical system-up/down status — use
/health - When no agents have produced logs in the window — say so and stop; do not pad
© softspark, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in app/skills/briefing of softspark/ai-toolkit.
Open the folder on GitHubat commit d64db2b
Compare with similar skills
Briefing 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Briefing this skillsoftspark/ai-toolkit | 179 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent Browserquran/quran.com-frontend-next | 1.9k | 42 repos | ~3.3k | Automated safety check: Pass | None | |
| Process Inboxtelegramdesktop/tdesktop | 33k | 2 repos | ~4.5k | Automated safety check: Pass | GPL-3.0 | |
| Perform Tasktelegramdesktop/tdesktop | 33k | 2 repos | ~3k | Automated safety check: Pass | GPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 6 repos | ~592 | Automated safety check: Pass | MIT | |
| Continuetelegramdesktop/tdesktop | 33k | 2 repos | ~9.4k | Automated safety check: Pass | GPL-3.0 |
Similar skills
Process Inbox
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
Perform Task
telegramdesktop/tdesktop
Resolve, start or resume, implement, review, test, and publish exactly one existing ai-tdesktop task by short slug or full dated id, including rare blocked retries and split-required results.
Brave Search
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
Continue
telegramdesktop/tdesktop
Continue autonomous Telegram Desktop development from the shared ai-tdesktop repository.
Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
More from softspark/ai-toolkit
All 112 skills in this repoPrepare Test Env
softspark/ai-toolkit
Prepare or verify a project QA environment with source identity, readiness, browser access, evidence paths and owned cleanup.
A11y Validate
softspark/ai-toolkit
Accessibility validator: WCAG 2.1 AA, EN 301 549, EAA. An agent skill from softspark/ai-toolkit.
Analyze
softspark/ai-toolkit
Analyzes code quality, complexity, patterns across codebase.
Autonomous Dev
softspark/ai-toolkit
Drives a brief, specification, issue or existing PR through implementation, review, tests and QA to a ready PR.
Brand Voice
softspark/ai-toolkit
Direct technical voice for docs, README, user-facing text. An agent skill from softspark/ai-toolkit.
CI
softspark/ai-toolkit
Detect/generate/debug CI pipeline config (GitHub Actions, GitLab CI).
Related
Categories
Questions about Briefing
What does Briefing do?
Executive daily briefing aggregating reports from all agents into decision-focused summary. Briefing is an agent skill from softspark/ai-toolkit. Executive daily briefing aggregating reports from all agents into decision-focused summary.
When should I use Briefing?
Briefing fits situations like: productivity & Automation work in your project.
How do I install Briefing in Claude Code?
Run `npx skills add softspark/ai-toolkit --skill briefing -a claude-code`. Or copy the skill folder (app/skills/briefing in softspark/ai-toolkit) into .claude/skills/briefing in your project. Claude Code loads it when a task matches its description.
How do I install Briefing in Codex?
Run `npx skills add softspark/ai-toolkit --skill briefing -a codex`. Or copy the skill folder (app/skills/briefing in softspark/ai-toolkit) into .agents/skills/briefing in your project. Codex loads it when a task matches its description.
Can I use Briefing 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 softspark/ai-toolkit --skill briefing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/briefing, .gemini/skills/briefing, .github/skills/briefing and .opencode/skills/briefing in your project.
What does Briefing need to run?
Going by SKILL.md and its folder, Briefing needs the command-line tools its instructions call (python3 and jq). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob.
Does Briefing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Briefing 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. Review the folder before installing.
What licence does Briefing use?
Briefing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Briefing use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Briefing?
Skills that share tags, products or a category with Briefing: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Briefing?
softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.
Source: softspark/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.