Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add clawplays/ospec --skill ospec-goalgit clone --depth 1 https://github.com/clawplays/ospecWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/clawplays/ospec/ospec-goal)<a href="https://agentmods.dev/skills/clawplays/ospec/ospec-goal"><img src="https://agentmods.dev/badge/skills/clawplays/ospec/ospec-goal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/clawplays/ospec/ospec-goal"><img src="https://agentmods.dev/badge/skills/clawplays/ospec/ospec-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 77 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.05590 |
| Opus 5.5 | $0.00012 | $0.02236 |
| Sonnet 5.5 | $0.00006 | $0.01118 |
| Haiku 4.5 | $0.00003 | $0.00559 |
Grade A, and why
ospec-goal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OSpec Goal
Use this skill for complex work that needs the full OSpec workflow. A goal is intentionally heavier than a change and is the place to use design docs, implementation planning, task graph dispatch, worker/reviewer handoffs, and durable evidence.
Every rule you need in order to act is in this file. for-ai/execution-protocol.md is the authoritative detail behind those rules — open it only when a named situation actually comes up (per-harness wait primitives, lease expiry, repair convergence, cross-task finding scope, worker-report repair binding, allowlist CAS semantics, deferred external acceptance, force-archive detail), never on goal entry and never on every turn. That file is the goal profile's reference; a classic change reads for-ai/change-protocol.md instead and must never be sent here.
Loop Model
ospec goal creates a session-bound Loop automatically (artifacts/loop/loop.json + state.json + run-log.jsonl). There is no separate init step.
- OSpec is the durable state-machine brain.
ospec loop run --oncefirst observes the previous task, review, or verification evidence, then emits a bounded batch of action items fromtask-graph.json. Execute each one only through the model-native subagent primitive named by its target-boundruntimeAdapter, then record durable evidence. - IDE controller auto-dispatch is mandatory. Never stop at "Loop initialized" or ask the user to run Loop commands. Run
ospec loop run <goal-path> --once --compact-json, consume every returned action, record evidence as each executor finishes, and tick again without another user prompt. Stop only for a required user decision, an unavailable independent/isolated executor, a blocking safety gate, a configured guard/STOP, a terminal failure that needs user authority, an explicit user pause, ordone. - One batched call per controller round.
ospec loop step <goal> --batch-file <path|->applies every claim and every result and ticks in ONE process, then emits the next action batch as compact JSON. It replacesloop heartbeatx N +loop finalizex N +loop run --once; at the default concurrency of 3 that is a measured 7 controller calls down to 2. The ceiling is2C+1in the DECLARED capacity C (C=5 measures 11), not in the task count, so the win does not grow as the goal gets more tasks. Send{"claims":[...]}with--no-tickright after dispatching, then{"results":[...]}when the children finish. A missing or mis-keyed envelope key is a hard error, never an empty batch; a partial failure stops, does not tick, and prints exactly which items are already durable. - Executor lifecycle is durable and bounded. Claim each dispatched child once (the
claimsarray ofospec loop step, orospec loop heartbeatper item), runospec loop poll <goal> --jsonbetween native waits (it refreshes every lease and reportstickNow), and full-tick only ontickNow=trueor right after dispatching. Never make one indefinite wait: stay insidemaxWaitMs(60s) while other work is dispatchable; the singleidleMaxWaitMs(10min) wait is only for the last outstanding batch. Commit each finished child with its emittedospec loop finalize ...command, and useospec loop recover --forceonly when the prior session or child is known to be gone. - Match execution shape to graph shape. Maximize task-graph width: every
depends_onmust be semantically necessary, and the planning review treats an unjustified fully serial chain as a finding. On a reportedserialBottleneckthe controller may implement that one task inline (executor idcontroller-inline); reviews stay independent subagents.--review-gating optimisticfits low-risk goals; keep the strict default forhigh_risk/security_relatedwork. - Planning quality is fast and bounded. Design preflight, then plan preflight — never launch a reviewer child for either — then the derived task graph, then one independent combined planning review.
NEEDS_CHANGESpermits one grouped repair and at most one delta-scoped re-review; a repeated semantic failure is a stable blocker, never an open-ended loop. - Progress documents track reality. Tick each proposal.md acceptance criterion as its evidence passes; tag acceptance lines
[verify:<id>]and recordospec execute verify ... --satisfies <id>soospec execute syncauto-ticks them. Archiving blocks on unchecked items. review.md is derived by sync from the final review — never edit it by hand. - Required decisions always block. Present every required decision to the user, never auto-select the recommendation, and record it with
--answered-by userbefore the loop proceeds. Brainstorm resolutions need the same provenance. /goalis capability-probed, not inferred from a target name.ospec execute launch --primitive goalemits a native-/goalinstruction only when the harness explicitly reports support; otherwise the same controller runs the verify-driven loop through native subagents.- Scheduling is session-bound. Unknown native capacity uses the default implementation concurrency of three while keeping conflict-safe review batches under the configured limit. Raise
maxParallelonly from an authoritative current-session capacity report — never from a provider name or a stale session — and never over dependencies, file conflicts, token funding, or the configured maximum. - Progress is artifact-backed, and
state.jsonis the status source of truth. Task status, review decisions, repair waves, evidence,state.json, andrun-log.jsonlcarry progress between fresh contexts, and process exit alone does not complete an action. When a document andstate.jsondisagree, reconcile towardstate.jsoninstead of reporting the document's value. Dispatch only items returned inactions; a durablependingrecord with an empty action list is observation state, not work. - Manual artifact edits need a sync. After hand-editing the task graph, execution session, a review artifact, debug evidence, or the verification checklist, run
ospec execute sync [changes/active/<goal>]soartifacts/agents/worker-status.mdand the derived checklists rebuild from authoritative state — never only at closeout. - Guards are enforced before new work. Pause/STOP, iteration/deadline/token/time budgets, no-progress limits, comprehension checkpoints, required decisions, passed preflights and planning review, ready workspace evidence, and optional allowlists can stop or pause the loop.
- Review repair is convergent and regression-aware. A downstream task sharing target files inherits transitive upstream regression obligations. The two-round defaults are convergence thresholds, a blocked final review needs blocker resolution instead of grouped repair, and no limit is ever raised to repeat unchanged work. Cross-task finding scope and worker-report repair binding are specified in
for-ai/execution-protocol.md; read it when a finding actually reaches past its own task. - Verification scope must be proportional. Treat an unscoped
docker compose up --buildas a required preflight: check repository release guidance and prefer explicit service names. Never rebuild or download unrelated runtimes to verify a scoped change. - External acceptance may be deferred, never waived, and allowlists never widen silently. Keep device, credential, manual, and third-party acceptance off unrelated critical paths, and treat a configured allowlist as a fail-closed boundary rather than a workflow level. The exact
ospec execute defer-blockerandloop allowlistsemantics are infor-ai/execution-protocol.md— open it when either situation actually arises. - Stop condition is three-stage: run the project's real tests separately, record their evidence with
ospec execute verify --status, then confirm withospec verify.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 129 lines · 29 tokens per session scan A 2c42d23fce0d
ospec-goal is a skill published in the GitHub repository clawplays/ospec (396 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 5,590 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
moai-workflow-worktree
Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments.
moai-lane-watchdog
One lane stall watchdog iteration: measure lane progress on three channels, classify the stall cause, apply the remedy or resolve the judgment through the decision ladder — instead of waiting on a reply — then record the outcome and report. Reads the unified --auto doctrine at…
moai-workflow-thinking
Sequential Thinking MCP for structured step-by-step analysis via --deepthink flag. Separate from UltraThink which is Claude's native extended reasoning mode. Use for multi-step analysis or architecture decisions.
moai-ref-ui-polish
UI polish and interface-completion reference: the small visual details — concentric border radius, optical alignment, shadow-vs-border, motion easing, typography smoothing, tabular numbers, icon stroke weight, hit areas — that separate polished interfaces from generic ones. Agent-extending skill that amplifies…
moai-domain-uiux
UI/UX design systems specialist covering accessibility, icons, theming, design tokens, and user experience patterns. Use when working on design systems, WCAG compliance, ARIA patterns, or dark mode theming.
kelos
Install and configure Kelos; author, document, inspect, troubleshoot, and operate its Kubernetes custom resources and CRD schemas in the kelos.dev API group using manifests, kubectl, or the kelos CLI. Use when a request names Kelos or a distinctive Kelos kind such as AgentConfig or TaskSpawner and concerns an…