Reflect on Session Learnings
cursor/plugins
Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.
Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers.
Install H Onboard
$ npx skills add m0n0x41d/haft --skill h-onboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m0n0x41d/haft h-onboard --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/m0n0x41d/haft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/cli/skill/h-onboard .claude/skills/h-onboard && 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 "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .claude/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboardType 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 m0n0x41d/haft --skill h-onboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m0n0x41d/haft h-onboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .agents/skills && cp -r skills-src/internal/cli/skill/h-onboard .agents/skills/h-onboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .agents/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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 m0n0x41d/haft --skill h-onboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m0n0x41d/haft h-onboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/internal/cli/skill/h-onboard .cursor/skills/h-onboard && 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 "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .cursor/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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/m0n0x41d/haft.git --path internal/cli/skill/h-onboard--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 m0n0x41d/haft --skill h-onboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m0n0x41d/haft h-onboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/internal/cli/skill/h-onboard .gemini/skills/h-onboard && 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 "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .gemini/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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 m0n0x41d/haft h-onboardInstalls 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 m0n0x41d/haft --skill h-onboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .github/skills && cp -r skills-src/internal/cli/skill/h-onboard .github/skills/h-onboard && 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 "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .github/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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 m0n0x41d/haft --skill h-onboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install m0n0x41d/haft h-onboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/internal/cli/skill/h-onboard .opencode/skills/h-onboard && 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 "h-onboard" agent skill from https://github.com/m0n0x41d/haft/tree/main/internal/cli/skill/h-onboard into .opencode/skills/h-onboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "h-onboard", 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
h-onboard- GitHub stars
- 1.4k
- Token cost
- ~2.2k tokens
- SKILL.md length
- 924 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers.
- Works in 3 steps: Read one onboarding status → Prepare a project-profile review → Continue to applicable specifications
- First-time setup
- SKILL.md covers 1. Read one onboarding status, 2. Prepare a project-profile… and 3. Continue to applicable…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
H Onboard is an agent skill from m0n0x41d/haft. Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers. Use for first-time setup, incomplete setup, or profile-underdetermined spec recovery. Project memory is ready immediately after haft init. Status and repository detection are read-only; all reviewed profile effects and specification lifecycle gates remain explicit human acts.
Its SKILL.md is about 2.2k 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 Agent Workflows, covering Agent memory. The repository describes itself as: Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.
When your agent uses it
- First-time setup
- Incomplete setup
- Profile-underdetermined spec recovery
Example prompts
- “/h-onboard”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, Write, Edit, mcp__haft__haft_onboard, mcp__haft__haft_query, mcp__haft__haft_spec_section
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Read one onboarding status
- Prepare a project-profile review
- Continue to applicable specifications
What it can do on your machine
Read from SKILL.md and the folder at commit e0c63f4. 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:
BashReadGrepGlobWriteEditmcp__haft__haft_onboardmcp__haft__haft_querymcp__haft__haft_spec_section
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).
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
H Onboard loads about 2.2k tokens when it runs. Until then it costs about 117 tokens; SKILL.md has 924 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Grep, Glob, Write, Edit, mcp__haft__haft_onboard, mcp__haft__haft_query, mcp__haft__haft
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 924 words (~2,156 tokens).
“Contract truth: project-profile onboarding and automatic project-memory setup are V9 CONTRACT capabilities. Source, schema, skill, and local-test presence is not installed-runtime proof. A current readiness claim requires EXACT-CANDIDATE EVIDENCE from P14 tied to one exact candidate; RC or release status…”
- name
- h-onboard
- allowed-tools
- Bash, Read, Grep, Glob, Write, Edit, mcp__haft__haft_onboard, mcp__haft__haft_query, mcp__haft__haft_spec_section
- when_to_use
- The repository has no Haft state, setup is incomplete, or the operator is explicitly reviewing a project-profile declaration or relation change.
- argument-hint
- [optional project description]
Files
Just SKILL.md in internal/cli/skill/h-onboard of m0n0x41d/haft.
Open the folder on GitHubat commit e0c63f4
Compare with similar skills
H Onboard 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 |
|---|---|---|---|---|---|---|
| H Onboard this skillm0n0x41d/haft | 1.4k | — | ~2.2k | Automated safety check: Notes | Custom licence | |
| Reflect on Session Learningscursor/plugins | 11k | 5 repos | ~1.2k | Automated safety check: Pass | None | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| MemPalace Memory SearchMemPalace/mempalace | 60k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Compound Learning WriterEveryInc/compound-engineering-plugin | 25k | — | ~2k | Automated safety check: Pass | MIT |
Similar skills
- Official
Neat-Freak Knowledge Closeout
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
Beads Task Memory
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
MemPalace Memory Search
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
Compound Learning Writer
EveryInc/compound-engineering-plugin
Records one solved and verified problem as a durable learning in the repository, but only when the reasoning is not already clear from the final code, tests or docs.
Session History Search
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Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.
More from m0n0x41d/haft
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Routes one direct, unambiguous operator request to bind a bounded choice as a DecisionRecord.
H Explore
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Generate 3-5 genuinely distinct candidate approaches for a current question, with the weakest link of each kept visible.
H Frame
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Shape an engineering problem without assuming a solution or forcing a project phase.
H Spec
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Manage Haft's typed specification lifecycle and source-currentness repair: inspect current SpecSections, draft or clarify carriers, classify FPF semantic fanout, record operator-requested spec…
H Status
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Read-only Haft project cockpit for active problems, decisions, notes, evidence freshness, drift, commissions, spec lifecycle, module decision coverage, and bounded exact file-link gaps from a…
H Verify
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Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay.
Related
Categories
Questions about H Onboard
What does H Onboard do?
Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers. H Onboard is an agent skill from m0n0x41d/haft. Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers.
When should I use H Onboard?
H Onboard fits situations like: first-time setup; incomplete setup; profile-underdetermined spec recovery.
How do I install H Onboard in Claude Code?
Run `npx skills add m0n0x41d/haft --skill h-onboard -a claude-code`. Or copy the skill folder (internal/cli/skill/h-onboard in m0n0x41d/haft) into .claude/skills/h-onboard in your project. Claude Code loads it when a task matches its description.
How do I install H Onboard in Codex?
Run `npx skills add m0n0x41d/haft --skill h-onboard -a codex`. Or copy the skill folder (internal/cli/skill/h-onboard in m0n0x41d/haft) into .agents/skills/h-onboard in your project. Codex loads it when a task matches its description.
Can I use H Onboard 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 m0n0x41d/haft --skill h-onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/h-onboard, .gemini/skills/h-onboard, .github/skills/h-onboard and .opencode/skills/h-onboard in your project.
What does H Onboard need to run?
SKILL.md names no scripts, command-line tools or credentials: H Onboard is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Grep, Glob, Write, Edit, mcp__haft__haft_onboard, mcp__haft__haft_query, mcp__haft__haft_spec_section.
Does H Onboard 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 H Onboard safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does H Onboard use?
H Onboard 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 H Onboard use?
About 2.2k tokens (SKILL.md is roughly 8.6k 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 H Onboard?
Skills that share tags, products or a category with H Onboard: Reflect on Session Learnings (cursor/plugins, 11k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars) and MemPalace Memory Search (MemPalace/mempalace, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains H Onboard?
m0n0x41d (a GitHub user) maintains it in m0n0x41d/haft, which has 1,397 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 28, 2026.
Source: m0n0x41d/haft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.