Failure Codifier
Chachamaru127/claude-code-harness
Reads orchestration and judgment logs without writing to them, finds failures that keep recurring, and proposes rule candidates with confidence scores for human review.
Curate the project's rule-set — add, refine, merge, or retire a convention.
$ npx skills add CorridorTech/PoseCap --skill ad-level-up -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CorridorTech/PoseCap ad-level-up --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/CorridorTech/PoseCap.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ad-level-up .claude/skills/ad-level-up && 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 "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .claude/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-upType 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 CorridorTech/PoseCap --skill ad-level-up -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CorridorTech/PoseCap ad-level-up --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CorridorTech/PoseCap.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ad-level-up .agents/skills/ad-level-up && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .agents/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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 CorridorTech/PoseCap --skill ad-level-up -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CorridorTech/PoseCap ad-level-up --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CorridorTech/PoseCap.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ad-level-up .cursor/skills/ad-level-up && 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 "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .cursor/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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/CorridorTech/PoseCap.git --path .claude/skills/ad-level-up--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 CorridorTech/PoseCap --skill ad-level-up -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CorridorTech/PoseCap ad-level-up --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CorridorTech/PoseCap.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ad-level-up .gemini/skills/ad-level-up && 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 "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .gemini/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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 CorridorTech/PoseCap ad-level-upInstalls 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 CorridorTech/PoseCap --skill ad-level-up -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CorridorTech/PoseCap.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ad-level-up .github/skills/ad-level-up && 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 "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .github/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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 CorridorTech/PoseCap --skill ad-level-up -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CorridorTech/PoseCap ad-level-up --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CorridorTech/PoseCap.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ad-level-up .opencode/skills/ad-level-up && 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 "ad-level-up" agent skill from https://github.com/CorridorTech/PoseCap/tree/main/.claude/skills/ad-level-up into .opencode/skills/ad-level-up/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-level-up", 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.
ad-level-upCurate the project's rule-set — add, refine, merge, or retire a convention.
Ad Level Up is an agent skill from CorridorTech/PoseCap. Curate the project's rule-set — add, refine, merge, or retire a convention. The companion to ad-audit — where ad-audit audits against the rules, this evolves them, leanly. Every candidate must clear four anti-overfitting gates (recurrence-or-deliberate-decision, generalisation, load-bearing root cause, proportionate cost) plus an effectiveness pass (is it a genuine improvement, does it duplicate an existing rule, does it catch real observed behaviour) or it is rejected out loud. Every drafted candidate then…
Its SKILL.md is about 2.1k 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 Plain language and style rules, Root cause analysis and Human-in-the-loop approvals. The licence is Apache-2.0.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 626701b. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepBashTaskEditWriteFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ad Level Up loads about 2.1k tokens when it runs. Until then it costs about 256 tokens; SKILL.md has 1,041 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Glob, Grep, Bash, Task, Edit, WriteAutomated 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.
The full file from CorridorTech/PoseCap at commit 626701b, republished under its Apache-2.0 licence (© CorridorTech). 1,041 words, ~2,113 tokens.
.claude/skills/ad-level-up/SKILL.md (or your agent's skills folder).Evolve the rule-set without bloating it. Where ad-audit audits work against the rules, this skill curates the rules — adding only the generalising survivors, leanly, with evidence, and never without your explicit approval.
A full or drifting context, or a model having an off moment, must never edit the rule-set unsupervised — that is exactly when a bad write slips in. So: NEVER write without explicit human approval. Always present the proposal plus a plain-language rationale first; apply only on the user's OK, one item at a time. No batch writes, no "while I'm here" edits. This gate is enforced by this contract, not by tool permissions — hold to it even though Edit is available.
Two curated layers exist (ADR-0035 + ADR-0043); every accepted candidate targets exactly one:
$AGENTIC_RULES_DIR if set, else ~/.agentic/rules/..agentic/rules/ at the repo root. On genuine conflict, a project rule shadows a machine-store rule (the audit reports the shadowing), so curate a project rule when the project deliberately deviates from the practitioner's global set.Recommend the layer from the rule's own content (does it generalize beyond this repo?); the user confirms. Read the target layer before proposing (the edit needs a prior read; voice-matching needs the current text). If the target layer does not exist yet, say so — offer to create it on approval, rather than inventing a path. First project-rule creation: ask whether .agentic/rules/ is committed (versions with the repo; the team inherits it) or machine-local; in machine-local mode, on approval, write the .agentic/rules/ entry into .git/info/exclude yourself — never .gitignore, which is committed and team-visible. When you find an .agentic/rules/ that is neither committed nor excluded (e.g. a fresh clone), re-offer the choice. A convention that belongs in a repo binding doc (AGENTS.md, GUIDELINES.md) or is bigger than a rule line routes to /ad-adr or /ad-guidelines instead — this skill owns the terse rule-set.
One sentence plus the citation (a finding, PR, transcript, or file:line — or the ad-audit handoff that surfaced it). If it cannot be cited, stop — it is not grounded, and a lone uncited slip is a memory note, not a rule.
Where was this seeded? Attach the candidate to the upstream cause (an investigation / grounding / verification gap), not the surface symptom.
All four must pass; reject the rest out loud:
Place by grounding-target / failure-mode, never by nearest heading. Assign the rule to the group whose grounding-target it matches. Keep the group set minimal — a NEW group only when a defect class is demonstrably uncovered by every existing group; split a group only when its rule count grows too large (then split along its grounding-target). Give the rule the next stable id in its group.
Read the target rule file(s) first. Write the terse imperative rule under its group, and — when there is a why worth keeping — its rationale alongside. One rule, lean. Do not write to disk yet.
Fan out fresh-context reviewers (one Task call per lens, routing to the bundled rule-candidate-reviewer), each trying to REFUTE the candidate against the ACTUAL current rule files — never assume. Run all three lenses.
The review filters and reclassifies (survive-as-add / merge / reject); it never writes and never bypasses the human gate.
Present:
Apply only on the user's explicit approval, one item at a time. On approval, make the minimal change — Edit an existing rule file, or Write to create the rule-set file at the resolved location when it does not exist yet; then stop and await the next item.
Task invocation of rule-candidate-reviewer per lens./ad-audit after a rule lands to confirm it catches what it was written for./ad-adr (architectural) or /ad-guidelines (engineering standards).ad-audit's Step 8 handoff is this skill's Step 1 candidate.© CorridorTech, 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
Just SKILL.md in .claude/skills/ad-level-up of CorridorTech/PoseCap.
Open the folder on GitHubat commit 626701b
Ad Level Up 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 |
|---|---|---|---|---|---|---|
| Ad Level Up this skillCorridorTech/PoseCap | 220 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Failure CodifierChachamaru127/claude-code-harness | 3.2k | — | ~603 | Automated safety check: Notes | MIT | |
| PUA High-Agency Governancetanweai/pua | 20k | — | ~502 | Automated safety check: Pass | MIT | |
| Issue BriefVasiHemanth/tokentelemetry | 376 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Defect Intake and RCA Candidatesprotect-my-hair/nucleus-marketplace | 164 | — | ~745 | Automated safety check: Pass | MIT | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence |
Chachamaru127/claude-code-harness
Reads orchestration and judgment logs without writing to them, finds failures that keep recurring, and proposes rule candidates with confidence scores for human review.
tanweai/pua
Pushes an agent to keep verifying and changing approach after repeated failures, using a diagnosis line, evidence-based completion and confirmation before risky edits.
VasiHemanth/tokentelemetry
Explain a GitHub issue, discussion, or feature request in plain language before deciding whether to build it.
protect-my-hair/nucleus-marketplace
Checks whether a defect report has enough context to be accepted, then drafts candidate-only root-cause evidence for human review without confirming causes or changing code.
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
iflytek/skillhub
Answers questions about a past agent run from its recording, using causal graphs and replay, instead of reconstructing events from memory.
CorridorTech/PoseCap
Draft a new ADR (Architecture Decision Record) at doc/adr/NNNN-<short-title.md, using Michael Nygard's Context/Decision/Consequences/Alternatives pattern.
CorridorTech/PoseCap
Generate ARCHITECTURE.md at the repo root by scanning the code first, pre-filling layers/patterns/observability/deployment from observed signals, then asking only the genuine gaps.
CorridorTech/PoseCap
Hard-delete completed plan files (tasks Status:done, specs Status:shipped, PRDs Status:superseded, ADRs Status:superseded or deprecated) via git rm, leaving git history as the only ledger.
CorridorTech/PoseCap
Read-only drift audit — compare AGENTS.md, ARCHITECTURE.md, ADR statuses, feature specs in doc/specs/, and documentation discipline against what the code actually does.
CorridorTech/PoseCap
Scaffold deterministic quality gates per WORKFLOW.md §11 — pre-commit (lint, format, secret-scan), pre-push (build, unit, integration).
CorridorTech/PoseCap
Survey the project's state across the six-layer artifact stack and recommend prioritized next actions, modeled on flutter doctor.
Curate the project's rule-set — add, refine, merge, or retire a convention. Ad Level Up is an agent skill from CorridorTech/PoseCap. Curate the project's rule-set — add, refine, merge, or retire a convention.
Ad Level Up fits situations like: tasks that involve Plain language and style rules; tasks that involve Root cause analysis; tasks that involve Human-in-the-loop approvals.
Run `npx skills add CorridorTech/PoseCap --skill ad-level-up -a claude-code`. Or copy the skill folder (.claude/skills/ad-level-up in CorridorTech/PoseCap) into .claude/skills/ad-level-up in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CorridorTech/PoseCap --skill ad-level-up -a codex`. Or copy the skill folder (.claude/skills/ad-level-up in CorridorTech/PoseCap) into .agents/skills/ad-level-up in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CorridorTech/PoseCap --skill ad-level-up -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ad-level-up, .gemini/skills/ad-level-up, .github/skills/ad-level-up and .opencode/skills/ad-level-up in your project.
SKILL.md names no scripts, command-line tools or credentials: Ad Level Up is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Bash, Task, Edit, Write.
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.
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.
Ad Level Up 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.
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ad Level Up: Failure Codifier (Chachamaru127/claude-code-harness, 3.2k stars), PUA High-Agency Governance (tanweai/pua, 20k stars), Issue Brief (VasiHemanth/tokentelemetry, 376 stars) and Defect Intake and RCA Candidates (protect-my-hair/nucleus-marketplace, 164 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CorridorTech (a GitHub organization) maintains it in CorridorTech/PoseCap, which has 220 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.
Source: CorridorTech/PoseCap on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.