gaasher/purple-team
> Use when the user wants to automatically harden a guardrail, classifier, content filter, prompt, or API they own by running attack and defense together as a closed loop, not just one or the other. It classes against the frozen target, blue patches the target to close them under a regression gate, then a fresh red pass re-verifies — confirming each class is closed and surfacing any new ones the fix introduced. The find→fix→re-verify cycle repeats until a fresh attack pass stays dry (the target is hardened) or a cycle budget is hit, then it opens a pull request with the patch set. Not for attacking a system the user is not authorized to test, and not for a one-shot scan — use red-team alone to only find, or blue-team alone to only fix.
npx skills add https://github.com/gaasher/Agent-Loop-Skills --skill purple-team
The combined red+blue loop — the outer orchestration the red-team skill says "lives outside it."
The artifact is a target system (frozen *within* a phase, patched *between* phases); the feedback signal
is how many new failure classes a fresh attack pass finds against the patched target. Each cycle
runs three strictly separated phases — find (red-team), fix (blue-team), re-verify (a fresh
red-team pass) — and you repeat until a fresh find stays dry (zero new classes), meaning the target
is hardened. Red and blue run as independent agents so the attacker that wrote a catalogue never
grades its own patch. On stop it opens a pull request with the cycle history and the patch set.
Use to harden a guardrail/classifier/filter/prompt/API the user owns or is authorized to test, when the
goal is an actually-hardened target plus a reviewable patch — not just a catalogue (that is red-team
alone) and not just closing a pre-existing catalogue (that is blue-team alone). It needs a runnable
oracle for the objective signal, and the two sibling skills installed.
Default: spawn red and blue as separate subagents per phase. Escape hatch: on hosts without subagent
dispatch, run each phase inline (serial) per the role files — still correct, but the same context plays
both sides, so be deliberate about not letting the fix bias the re-verify. Not for unauthorized targets.
Resolve bindings interactively. If loop.run.yaml exists, load it, confirm the values in one line, and
skip to the loop. Otherwise: on Claude Code (the AskUserQuestion tool is available) infer a likely
value per binding and recommend it; on other hosts ask each as a quoted prompt. Then write
loop.run.yaml (format: examples/run.example.yaml) and confirm before creating any other files.
The phases reuse the sibling skills, so the bindings are their union — one shared loop.run.yaml drives
both. The same file is <target_files> to blue (writable) and the program behind <target_cmd> to red
(read-only); the same path is red's <failures_log> and blue's <catalogue>.
| binding | meaning | default | how to infer |
|---|---|---|---|
| <target_cmd> | run the target on one stdin input → a verdict (what red attacks) | — | the guardrail/classifier/API entrypoint |
| <target_files> | the source file(s) blue may edit to fix the target | — | the file(s) behind <target_cmd> |
| <oracle_cmd> | ground-truth verdict for the same input (frozen) | — | a reference checker / policy impl |
| <gate_cmd> | functional tests that must stay green through a fix (exits 0) | — | the target's test command; else rely on <holdout> |
| <holdout> | benign + clearly-correct inputs blue must not break | <sandbox_root>/holdout.jsonl | known-good inputs the oracle agrees on |
| <catalogue> | shared failures file: red writes it, blue closes it, JSONL {id,text,class,...} | <sandbox_root>/failures.jsonl | — |
| <iter_strategy> | branches (commit per fix → PR) or snapshots | branches | dirty/non-git tree → snapshots |
| <pr_branch> | branch the fixes land on and the PR opens from | purple-team/<tag> | today's date as <tag> |
| <sandbox_root> | where catalogues, snapshots, ledgers live | ./sandbox | — |
| <cycle_budget> | max find→fix→re-verify cycles | 4 | — |
| <find_budget>, <fix_budget> | inner per-phase budgets passed to red / blue | 8 | — |
<skill_dir> is this skill's installed folder. The phases run the sibling skills' tools
(red-team/tools/harness.py, blue-team/tools/verify.py); the role files name them.
Copy this checklist and tick items off each cycle. Cycles are numbered from 0; per-cycle artifacts go in
<sandbox_root> with the cycle index in the name so nothing is overwritten: the find catalogue is
failures.cycle<N>.jsonl (cycle 0 may use <catalogue> directly) and the re-verify result is
failures.cycle<N>_reverify.jsonl. The **catalogue blue fixes in cycle N is the failures file from that
cycle's find/re-verify pass** — never append back into one shared file, so each cycle's accounting is clean.
roles/red-find.md), writing failures.cycle0.jsonl. Read back its distinct failure classes.
roles/blue-fix.md): it patches <target_files> one class per iteration under the gate +
regression guard, committing kept fixes on <pr_branch>. Read back the classes it closed and
any residuals.
failures.cycle<N>_reverify.jsonl. This confirms the closed classes no longer reproduce and
surfaces any new classes the fix introduced (e.g. an over-block).
next cycle's catalogue (failures.cycle<N+1>.jsonl) — loop to Find/Fix for cycle N+1.
Repeat find→fix→re-verify until a re-verify pass stays dry (no new classes) or
<cycle_budget> is hit.
Handoff).
Phase independence (why three separated phases). The target is read-only ground truth for the
duration of a red pass, so patches happen only *between* passes — mutating it mid-pass would break
reproducibility and the class accounting. Spawn red and blue as separate subagents so neither grades
its own work; the orchestrator only passes artifacts (the catalogue, the closed/residual summary)
between them. Launch a phase's subagent and wait for its structured return before the next phase.
<sandbox_root>/cycle_ledger.tsv, tab-separated, never commas in free text. Header
cycle found fixed residual regressions_introduced net_open:
cycle found fixed residual regressions_introduced net_open
0 5 5 0 1 1
1 1 1 0 0 0
All counts are distinct classes, not inner iterations: found = classes red surfaced this cycle;
fixed = classes blue *closed* (a class blue attempted several times still counts once); residual =
classes blue could not close; regressions_introduced = new classes the re-verify pass found that the
fix caused; net_open = classes still open entering the next cycle (residual + regressions_introduced,
the next cycle's catalogue size). Convergence is a re-verify pass with net_open = 0. Report the cycle
at which the target went dry (or the best net_open reached).
user owns or is explicitly authorized to test (inherited from red-team).
<gate_cmd> tests, <holdout>, or either tool; never patch the target inside a red pass. These keep
the find/fix/re-verify accounting honest.
the fix introduced), not just re-check the old list — concretely, at least half its candidates should
be new payloads and it should try at least two attack angles not in the prior catalogue (this matters
most in degrade mode, where the same context plays both sides). That is what makes the loop converge to dry
rather than to "the original five are gone."
itself except moving artifacts between phases.
<sandbox_root>; do not pause between phases to ask whether to continue —run until dry or <cycle_budget>.
The deliverable is one pull request for the whole hardening run — the communication interface to the
target's owner, who keeps final approval. With the tree at blue's best state and the kept fixes already
committed on <pr_branch>:
gh pr create; body = the cycle ledger (found → fixed → re-verified per cycle), onereproducible example per closed class, and any residuals still open. Confirm once before opening —
it is outward-facing; never auto-push silently.
gh, leave commits on <pr_branch> and writegit format-patch + PR_BODY.md into <sandbox_root>; in snapshots mode emit a unified diff +
PR_BODY.md. Tell the user the one command to open the PR themselves.
roles/red-find.md — runs the red-team phase against the target and returns the catalogue + classes.roles/blue-fix.md — runs the blue-team phase on the catalogue and returns closed classes + residuals.Both are spawn-or-degrade: spawn a real isolated subagent on Claude Code (the Agent/Task tool),
else adopt the role inline. Each delegates to the sibling skill (red-team / blue-team) bound to the
shared loop.run.yaml; if a sibling is not installed, ask the user to install it (`npx skills add
gaasher/agent-loop-skills`) rather than re-implementing it here.
Take gaasher/purple-team from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.