sdlc
Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasing, publishing, and deploying. Use this skill when implementing, fixing, refactoring, testing, adding features, building new code, or releasing/publishing/deploying.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Maintenance
fresh
Pushed today
Risk
Needs review
License is unclear
GitHub quality
44
58/100 Quality · 62/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
44 GitHub stars
Repo activity
44 stars, 6 forks
Maintenance
Pushed today
License
Unknown
Install
npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown; no explicit license file or declaration in SKILL.md.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 54/100
- Audit
- 70/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add BaseInfinity/claude-sdlc-harness --skill sdlcDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; no explicit license file or declaration in SKILL.md.
- High-risk permission hints: Shell or command execution, Secrets or environment access
Alternative
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Agent safety v2
26/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- License is unclear
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install baseinfinity-sdlcAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20sdlc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20sdlc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/baseinfinity-sdlc/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use sdlc in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20sdlc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/baseinfinity-sdlc/install
Install command: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/baseinfinity-sdlc/install
LLM text format
/api/skills/baseinfinity-sdlc/install?format=text
Find alternatives
/api/skills/search?q=sdlc&limit=3
Agent prompt
Use sdlc for this task. Review https://www.openagentskill.com/api/skills/baseinfinity-sdlc/install, then install with: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlcRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/baseinfinity-sdlc
LLM text
/api/registry/manifest/baseinfinity-sdlc?format=text
Install alias
/api/registry/install/baseinfinity-sdlc
Recommend
/api/registry/recommend?task=Use%20sdlc%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 70/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 58/100 quality profile
- 2 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- Repository license is unknown; no explicit license file or declaration in SKILL.md.
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK44 GitHub stars
Stars/forks activity
CHECK44 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown; no explicit license file or declaration in SKILL.md.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 44 GitHub stars
- Stars/forks activity: 44 stars, 6 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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Overview
--- name: sdlc description: Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasing, publishing, and deploying. Use this skill when implementing, fixing, refactoring, testing, adding features, building new code, or releasing/publishing/deploying. argument-hint: "[task description]" --- # SDLC Skill - Full Development Workflow
## Skill source & precedence
Loaded from repo-local **`.claude/skills/sdlc/SKILL.md`**, which wins over global `~/.claude/skills/` — the project's authoritative contract. Global is for cross-repo tooling only. Unsure which is active? `head -5` both.
## Task $ARGUMENTS
Operational checklist — **complete on its own**. Full protocol (optional depth, Claude Code installs only): `CLAUDE_CODE_SDLC_WIZARD.md`; if absent, do not hunt for it.
**If the user requests /sdlc, ALWAYS run the full workflow — even for mechanical tasks.** Never silently skip; if overkill, say so and ask.
## Full SDLC Checklist
Your FIRST action must be a task list covering every phase below — `TodoWrite`, or `TaskCreate` where that is what your harness exposes. Compact form (omit `activeForm` to use the subject as the spinner label):
``` TodoWrite([ // PLANNING { content: "Find and read relevant documentation", status: "in_progress" }, { content: "Assess doc health - flag issues (ask before cleaning)", status: "pending" }, { content: "DRY scan: What patterns exist to reuse? New pattern = get approval", status: "pending" }, { content: "Prove It Gate: adding new component? Research alternatives, prove quality with tests", status: "pending" }, { content: "Blast radius: What depends on code I'm changing?", status: "pending" }, { content: "Design system check (if UI change)", status: "pending" }, { content: "Scope card BEFORE work: one issue, acceptance criteria, allowed paths, exclusions, risk tier, estimated diff", status: "pending" }, { content: "Scrutinize test design - right things tested? Follow TESTING.md?", status: "pending" }, { content: "Present approach + STATE CONFIDENCE LEVEL", status: "pending" }, { content: "Signal ready - user exits plan mode", status: "pending" }, // TRANSITION { content: "Doc sync: update or create feature doc — MUST be current before commit", status: "pending" }, // IMPLEMENTATION { content: "TDD RED: failing test FIRST where a RED mutation is writable — watch EACH assertion fail; otherwise three-way call (see TDD proves)", status: "pending" }, { content: "TDD GREEN: Implement, verify test passes", status: "pending" }, { content: "Adding a guard? Name the requested behavior or field it binds to — if none, DO NOT ADD IT, file it (#617)", status: "pending" }, { content: "Run lint/typecheck", status: "pending" }, { content: "Run ALL tests", status: "pending" }, { content: "Production build check", status: "pending" }, // REVIEW { content: "DRY check: Is logic duplicated elsewhere?", status: "pending" }, { content: "Visual consistency check (if UI change)", status: "pending" }, { content: "Security review (if warranted)", status: "pending" }, { content: "Cross-model review (high-stakes)", status: "pending" }, { content: "Scope guard: only changes related to task? No legacy/fallback code left?", status: "pending" }, // CI SHEPHERD { content: "Commit and push to remote", status: "pending" }, { content: "Watch CI - fix failures, iterate until green (max 2x)", status: "pending" }, { content: "Read CI review - implement valid suggestions, iterate until clean", status: "pending" }, { content: "Meta-repo only: run local shepherd if PR needs E2E score (optional)", status: "pending" }, { content: "Post-deploy verification (if deploy task)", status: "pending" }, // FINAL { content: "Present summary: changes, tests, CI status", status: "pending" }, { content: "Capture learnings (TESTING.md, CLAUDE.md, or feature docs)", status: "pending" }, { content: "Close out plan files: mark complete or delete", status: "pending" } ]) ```
## SDLC Quality Checklist (Scoring Rubric)
| Criterion | Points | Critical? | What Counts | |-----------|--------|-----------|-------------| | task_tracking | 1 | | Use TodoWrite or TaskCreate | | confidence | 1 | | State HIGH/MEDIUM/LOW | | tdd_red | 2 | **YES** | Write/edit test files BEFORE implementation files, where a RED mutation is writable (see TDD proves) | | plan_mode_outline | 1 | | Outline steps before coding | | plan_mode_tool | 1 | | Use TodoWrite/TaskCreate/EnterPlanMode | | tdd_green_ran | 1 | | Run tests, show runner output | | tdd_green_pass | 1 | | All tests pass in final run | | self_review | 1 | | Read back files/diffs you modified | | clean_code | 1 | | One coherent approach, no dead code |
**Total: 10 points** (11 for UI tasks, +1 for design_system check). Critical miss on `tdd_red` = process failure regardless of total score — when a RED mutation was writable. Out-of-scope under the three-way call is not a miss.
## Test Failure Recovery
**ALL TESTS MUST PASS. NO EXCEPTIONS.** Test code is app code. Failures are bugs — investigate them like a 15-year SDET, not by brushing aside.
Not acceptable: "those were already failing", "not related to my changes", "it's flaky" (flaky = bug we haven't found yet).
When tests fail: 1. Identify which test(s) failed 2. Diagnose WHY: your code broke it (regression — fix code), test is for deleted code (delete test), test has wrong assertions (fix test), "flaky" (investigate — race, shared state, env) 3. Fix appropriately, run specific test individually first, then run ALL tests 4. Still failing after 2 attempts? Escalate (see Confidence Check) — not straight to the user
## Confidence Check (REQUIRED)
State your confidence before presenting an approach:
| Level | Meaning | Action | Effort | |-------|---------|--------|--------| | HIGH (90%+) | Know exactly what to do | Present, proceed after approval | Model default | | MEDIUM (60-89%) | Solid approach, some uncertainty | Present, highlight uncertainties | Model default | | LOW (<60%) | Not sure | Escalate, don't ask ↓ | **escalate now** (per model, see above) | | FAILED 2x | Something's wrong | Escalate, don't ask ↓ | **escalate now** | | CONFUSED | Can't diagnose | Escalate, don't ask ↓ | **escalate now** |
**Effort bumping is NOT optional** — bump BEFORE the next attempt.
**Confidence ramp:** Opus research → Fable batch review → 95% list → /goal TDD → Codex.
**Uncertainty ≠ a human question.** Use the model/tool evidence available before interrupting a human — escalate to Fable (`advisor()`; if down, a Fable subagent at `high`), then Codex `high`; reserve the user for priority/risk/scope/spend or irreversible calls. **Confidence is not authorization**: a high score never overrides approval, external-effect, production, release/merge or policy gates; merge protections are non-overridable. **Standing instructions stay in force** (wizard doc).
## Plan Mode
Use plan mode for: multi-file changes, new features, LOW confidence, bug investigation. **Skip plan approval step** (auto-approval) when confidence HIGH (95%+) AND single-file/trivial AND no new patterns AND no architectural decisions — still announce approach, don't wait. When in doubt, wait.
## Long-Running Goals (`/goal`)
Native `/goal <condition>` (**v2.1.143+**). Haiku evaluator re-checks transcript per turn. **NEVER invoke below HIGH 95%** — below that it rubber-stamps flailing as progress. **Condition MUST name the DLC** (`/sdlc` etc.) so the evaluator anchors on "doing it right." **Pre-flight:** trusted workspace; `disableAllHooks`/`allowManagedHooksOnly` off. **Condition = contract:** end state + check + constraints + hard bound; e.g. `/goal "tests pass + clean tree following /sdlc, stop after 20 turns"`. Evaluator can't call tools; `--resume` resets counters.
## Recommended Model
**Recommended: Opus 5 `high`** for complex projects, `medium` for routine web/CRUD; escalate `xhigh` only for genuinely hard runs. **Sonnet 5 `medium`** for simple work. Pin `claude-opus-4-8` for a same-family escape. **Effort is model-aware, not blanket `max`** — set via `/effort` per session, never a shell-rc env var (overrides post-switch). `/model` persists; picker `s` does not.
**Autocompact: set neither override by default.** For a deliberately earlier boundary use `CLAUDE_CODE_AUTO_COMPACT_WINDOW` alone — a smaller window compacts sooner, and nothing in that range switches compaction off. On **current Opus** a percentage alone is inert unless the window is also set, and then the two multiply; on Sonnet 5 and on a 200K Opus 4.6 pin it is live, so size it against THAT window (#520). **Advisor (v2.1.170+):** `advisorModel: "fable"` works with all drivers above; set in `/claude-setup-wizard` Step 9.5.
## The Review Contract (give BOTH reviewers this, verbatim)
**Grade severity by impact if it shipped.** Not by how hard the fix is. Not by which round found it. Either one gets gamed to open or close a round.
| | | |---|---| | **P0** | Stop the world. Prod broken, data loss, secret leaked. Preempts the task. | | **P1** | This PR does not merge. It doesn't work, or it broke something that did. | | **P2** | Real, should fix, ships fine without it. | | **P3** | Nit. |
**A finding blocks only if it is P0 or P1 and inside the scope card.** Fix a P2 or P3 here only if the diff is small and you already touched the file. Otherwise file it.
**Also answer: is this the right way to build it?** Should this code exist? Is it proportionate? Return **SOUND**, **CONCERN** (ship it, here's the debt), or **WRONG SHAPE** (stop, redesign). No severity level says "this should not exist", so nobody says it. *(#539: four rounds, seven real P1s, guard deleted at the end. WRONG SHAPE ends that at round 1.)*
**File anything outside the scope card as a GitHub issue. Never build it here.** This binds reviewers too: an out-of-card finding gets reported and filed, and does not block certification. *(#520: 20 rounds, 46 lines, nothing to compare growth against.)*
**Do not certify a doc that instructs commands unless the output is pasted.** The other leg can check this, which is the point. Reading catches judgement defects; only running catches wrong commands. *(#572: both legs certified a doc whose update command fails outright.)*
**Review against the issue's acceptance criteria, verbatim.** A stricter bar you invented in your own prompt is self-inflicted scope. *(#553: two rounds on a bar #530 never contained.)*
Ship good code, not perfect code. No glaring issues, right shape. Otherwise you never ship.
## Cross-Model Review (REQUIRED for High-Stakes)
**When to run:** high-stakes changes (auth, payments, data), releases/publishes, complex refactors. **Skip (log justification):** trivial, hotfixes, risk < review cost. **Reviewer:** `gpt-5.6-sol` `high` — adversarial diversity. **Cadence:** Fable during design, Codex once per frozen scope; don't stack both unless the decision needs two independent reviewers.
**Fable decides, Codex checks.** Fable rules on design, priority and sequencing *before* you commit to an approach — not a reviewer of work already done. A second repair to the same component in one cycle is a design question for Fable, not a third patch: review converges on a fix, never on the right design.
**No test costs more rounds than the change it guards.** When a guard accretes rounds past its own change, delete the guard and file the follow-up — the rounds are being spent on the needle, not the risk. #476 spent six on twenty doc lines: four bought real defects, two bought spellings of `sudo`, and the guard was deleted at round six anyway (#551).
PROTOCOL is universal across domains; only `review_instructions` and `verification_checklist` change.
**Handoff/preflight mechanics: wizard doc.** These two stay; improvising them cost real time (#364, #437).
1. **FALSIFY YOUR OWN WORK FIRST — the reviewer is not your test phase.** Before launching a leg, make a checklist with o
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 65/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for sdlc, ready for a manual X post.
sdlc: Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasi... 44 stars https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x
Optional reply with install command
Listing + install path for sdlc: https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x Install: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- BaseInfinity
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to BaseInfinity but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/baseinfinity-sdlc)
[](https://www.openagentskill.com/skills/baseinfinity-sdlc)
[](https://www.openagentskill.com/skills/baseinfinity-sdlc/audit)
[](https://www.openagentskill.com/skills/baseinfinity-sdlc)Author
BaseInfinity
@baseinfinity
Tags
Platform fit
Health signals
- GitHub stars
- 44
- Quality score
- 35/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 2
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption44 GitHub starsCHECK
- Stars/forks activity44 stars, 6 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessCHECK
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